52-music-generation-with-LSTM/music-generation-with-LSTM.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Improvise a Jazz Solo with an LSTM Network\n",
    "\n",
    "\n",
    "**You will learn to:**\n",
    "- Apply an LSTM to music generation.\n",
    "- Generate your own jazz music with deep learning.\n",
    "\n",
    "Please run the following cell to load all the packages required in this assignment. This may take a few minutes. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can download data from:\n",
    "    http://deepnn.ir/class.vision/andrewng/Jazz-improvisation-with-LSTM.zip\n",
    "        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from __future__ import print_function\n",
    "import IPython\n",
    "import sys\n",
    "from music21 import *\n",
    "import numpy as np\n",
    "\n",
    "from grammar import *\n",
    "from qa import *\n",
    "from preprocess import * \n",
    "from music_utils import *\n",
    "from data_utils import *\n",
    "from keras.models import load_model, Model\n",
    "from keras.layers import Dense, Activation, Dropout, Input, LSTM, Reshape, Lambda, RepeatVector\n",
    "from keras.initializers import glorot_uniform\n",
    "from keras.utils import to_categorical\n",
    "from keras.optimizers import Adam\n",
    "from keras import backend as K"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1 - Problem statement\n",
    "\n",
    "You would like to create a jazz music piece specially for a friend's birthday. However, you don't know any instruments or music composition. Fortunately, you know deep learning and will solve this problem using an LSTM netwok.  \n",
    "\n",
    "You will train a network to generate novel jazz solos in a style representative of a body of performed work.\n",
    "\n",
    "<img src=\"images/jazz.jpg\" style=\"width:450;height:300px;\">\n",
    "\n",
    "\n",
    "### 1.1 - Dataset\n",
    "\n",
    "You will train your algorithm on a corpus of Jazz music. Run the cell below to listen to a snippet of the audio from the training set:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "                <audio controls=\"controls\" >\n",
       "                    <source src=\"data:audio/mpeg;base64,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\" type=\"audio/mpeg\" />\n",
       "                    Your browser does not support the audio element.\n",
       "                </audio>\n",
       "              "
      ],
      "text/plain": [
       "<IPython.lib.display.Audio object>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "IPython.display.Audio('./data/30s_seq.mp3')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We have taken care of the preprocessing of the musical data to render it in terms of musical \"values.\" You can informally think of each \"value\" as a note, which comprises a pitch and a duration. For example, if you press down a specific piano key for 0.5 seconds, then you have just played a note. In music theory, a \"value\" is actually more complicated than this--specifically, it also captures the information needed to play multiple notes at the same time. For example, when playing a music piece, you might press down two piano keys at the same time (playng multiple notes at the same time generates what's called a \"chord\"). But we don't need to worry about the details of music theory for this assignment. For the purpose of this assignment, all you need to know is that we will obtain a dataset of values, and will learn an RNN model to generate sequences of values. \n",
    "\n",
    "Our music generation system will use 78 unique values. Run the following code to load the raw music data and preprocess it into values. This might take a few minutes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "shape of X: (60, 30, 78)\n",
      "number of training examples: 60\n",
      "Tx (length of sequence): 30\n",
      "total # of unique values: 78\n",
      "Shape of Y: (30, 60, 78)\n"
     ]
    }
   ],
   "source": [
    "X, Y, n_values, indices_values = load_music_utils()\n",
    "print('shape of X:', X.shape)\n",
    "print('number of training examples:', X.shape[0])\n",
    "print('Tx (length of sequence):', X.shape[1])\n",
    "print('total # of unique values:', n_values)\n",
    "print('Shape of Y:', Y.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You have just loaded the following:\n",
    "\n",
    "- `X`: This is an (m, $T_x$, 78) dimensional array. We have m training examples, each of which is a snippet of $T_x =30$ musical values. At each time step, the input is one of 78 different possible values, represented as a one-hot vector. Thus for example, X[i,t,:] is a one-hot vector representating the value of the i-th example at time t. \n",
    "\n",
    "- `Y`: This is essentially the same as `X`, but shifted one step to the left (to the past). Similar to the dinosaurus assignment, we're interested in the network using the previous values to predict the next value, so our sequence model will try to predict $y^{\\langle t \\rangle}$ given $x^{\\langle 1\\rangle}, \\ldots, x^{\\langle t \\rangle}$. However, the data in `Y` is reordered to be dimension $(T_y, m, 78)$, where $T_y = T_x$. This format makes it more convenient to feed to the LSTM later. \n",
    "\n",
    "- `n_values`: The number of unique values in this dataset. This should be 78. \n",
    "\n",
    "- `indices_values`: python dictionary mapping from 0-77 to musical values."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1.2 - Overview of our model\n",
    "\n",
    "Here is the architecture of the model we will use. This is similar to the Dinosaurus model you had used in the previous notebook, except that in you will be implementing it in Keras. The architecture is as follows: \n",
    "\n",
    "<img src=\"images/music_generation.png\" style=\"width:600;height:400px;\">\n",
    "\n",
    "<!--\n",
    "<img src=\"images/djmodel.png\" style=\"width:600;height:400px;\">\n",
    "<br>\n",
    "<caption><center> **Figure 1**: LSTM model. $X = (x^{\\langle 1 \\rangle}, x^{\\langle 2 \\rangle}, ..., x^{\\langle T_x \\rangle})$ is a window of size $T_x$ scanned over the musical corpus. Each $x^{\\langle t \\rangle}$ is an index corresponding to a value (ex: \"A,0.250,< m2,P-4 >\") while $\\hat{y}$ is the prediction for the next value  </center></caption>\n",
    "!--> \n",
    "\n",
    "We will be training the model on random snippets of 30 values taken from a much longer piece of music. Thus, we won't bother to set the first input $x^{\\langle 1 \\rangle} = \\vec{0}$, which we had done previously to denote the start of a dinosaur name, since now most of these snippets of audio start somewhere in the middle of a piece of music. We are setting each of the snippts to have the same length $T_x = 30$ to make vectorization easier. \n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2 - Building the model\n",
    "\n",
    "In this part you will build and train a model that will learn musical patterns. To do so, you will need to build a model that takes in X of shape $(m, T_x, 78)$ and Y of shape $(T_y, m, 78)$. We will use an LSTM with 64 dimensional hidden states. Lets set `n_a = 64`. \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "n_a = 64 "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "Here's how you can create a Keras model with multiple inputs and outputs. If you're building an RNN where even at test time entire input sequence $x^{\\langle 1 \\rangle}, x^{\\langle 2 \\rangle}, \\ldots, x^{\\langle T_x \\rangle}$ were *given in advance*, for example if the inputs were words and the output was a label, then Keras has simple built-in functions to build the model. However, for sequence generation, at test time we don't know all the values of $x^{\\langle t\\rangle}$ in advance; instead we generate them one at a time using $x^{\\langle t\\rangle} = y^{\\langle t-1 \\rangle}$. So the code will be a bit more complicated, and you'll need to implement your own for-loop to iterate over the different time steps. \n",
    "\n",
    "The function `djmodel()` will call the LSTM layer $T_x$ times using a for-loop, and it is important that all $T_x$ copies have the same weights. I.e., it should not re-initiaiize the weights every time---the $T_x$ steps should have shared weights. The key steps for implementing layers with shareable weights in Keras are: \n",
    "1. Define the layer objects (we will use global variables for this).\n",
    "2. Call these objects when propagating the input.\n",
    "\n",
    "We have defined the layers objects you need as global variables. Please run the next cell to create them. Please check the Keras documentation to make sure you understand what these layers are: [Reshape()](https://keras.io/layers/core/#reshape), [LSTM()](https://keras.io/layers/recurrent/#lstm), [Dense()](https://keras.io/layers/core/#dense).\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "reshapor = Reshape((1, 78))                        # Used in Step 2.B of djmodel(), below\n",
    "LSTM_cell = LSTM(n_a, return_state = True)         # Used in Step 2.C\n",
    "densor = Dense(n_values, activation='softmax')     # Used in Step 2.D"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Each of `reshapor`, `LSTM_cell` and `densor` are now layer objects, and you can use them to implement `djmodel()`. In order to propagate a Keras tensor object X through one of these layers, use `layer_object(X)` (or `layer_object([X,Y])` if it requires multiple inputs.). For example, `reshapor(X)` will propagate X through the `Reshape((1,78))` layer defined above."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " \n",
    "Implement `djmodel()`. You will need to carry out 2 steps:\n",
    "\n",
    "1. Create an empty list \"outputs\" to save the outputs of the LSTM Cell at every time step.\n",
    "2. Loop for $t \\in 1, \\ldots, T_x$:\n",
    "\n",
    "    A. Select the \"t\"th time-step vector from X. The shape of this selection should be (78,). To do so, create a custom [Lambda](https://keras.io/layers/core/#lambda) layer in Keras by using this line of code:\n",
    "```    \n",
    "           x = Lambda(lambda x: X[:,t,:])(X)\n",
    "``` \n",
    "Look over the Keras documentation to figure out what this does. It is creating a \"temporary\" or \"unnamed\" function (that's what Lambda functions are) that extracts out the appropriate one-hot vector, and making this function a Keras `Layer` object to apply to `X`. \n",
    "\n",
    "    B. Reshape x to be (1,78). You may find the `reshapor()` layer (defined below) helpful.\n",
    "\n",
    "    C. Run x through one step of LSTM_cell. Remember to initialize the LSTM_cell with the previous step's hidden state $a$ and cell state $c$. Use the following formatting:\n",
    "```python\n",
    "a, _, c = LSTM_cell(input_x, initial_state=[previous hidden state, previous cell state])\n",
    "```\n",
    "\n",
    "    D. Propagate the LSTM's output activation value through a dense+softmax layer using `densor`. \n",
    "    \n",
    "    E. Append the predicted value to the list of \"outputs\"\n",
    " \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def djmodel(Tx, n_a, n_values):\n",
    "    \"\"\"\n",
    "    Implement the model\n",
    "    \n",
    "    Arguments:\n",
    "    Tx -- length of the sequence in a corpus\n",
    "    n_a -- the number of activations used in our model\n",
    "    n_values -- number of unique values in the music data \n",
    "    \n",
    "    Returns:\n",
    "    model -- a keras model with the \n",
    "    \"\"\"\n",
    "    \n",
    "    # Define the input of your model with a shape \n",
    "    X = Input(shape=(Tx, n_values))\n",
    "    \n",
    "    # Define s0, initial hidden state for the decoder LSTM\n",
    "    a0 = Input(shape=(n_a,), name='a0')\n",
    "    c0 = Input(shape=(n_a,), name='c0')\n",
    "    a = a0\n",
    "    c = c0\n",
    "    \n",
    "    # Step 1: Create empty list to append the outputs while you iterate (≈1 line)\n",
    "    outputs = []\n",
    "    \n",
    "    # Step 2: Loop\n",
    "    for t in range(Tx):\n",
    "        \n",
    "        # Step 2.A: select the \"t\"th time step vector from X. \n",
    "        x = Lambda(lambda x: X[:,t,:])(X)\n",
    "        # Step 2.B: Use reshapor to reshape x to be (1, n_values) (≈1 line)\n",
    "        x = reshapor(x)\n",
    "        # Step 2.C: Perform one step of the LSTM_cell\n",
    "        a, _, c = LSTM_cell(x, initial_state=[a0, c0])\n",
    "        # Step 2.D: Apply densor to the hidden state output of LSTM_Cell\n",
    "        out = densor(a)\n",
    "        # Step 2.E: add the output to \"outputs\"\n",
    "        outputs.append(out)\n",
    "        \n",
    "    # Step 3: Create model instance\n",
    "    model = Model([X, a0, c0], outputs)\n",
    "    \n",
    "   \n",
    "    return model"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Run the following cell to define your model. We will use `Tx=30`, `n_a=64` (the dimension of the LSTM activations), and `n_values=78`. This cell may take a few seconds to run. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "model = djmodel(Tx = 30 , n_a = 64, n_values = 78)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You now need to compile your model to be trained. We will Adam and a categorical cross-entropy loss."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "opt = Adam(lr=0.01, beta_1=0.9, beta_2=0.999, decay=0.01)\n",
    "\n",
    "model.compile(optimizer=opt, loss='categorical_crossentropy', metrics=['accuracy'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Finally, lets initialize `a0` and `c0` for the LSTM's initial state to be zero. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": true,
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "m = 60\n",
    "a0 = np.zeros((m, n_a))\n",
    "c0 = np.zeros((m, n_a))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Lets now fit the model! We will turn `Y` to a list before doing so, since the cost function expects `Y` to be provided in this format (one list item per time-step). So `list(Y)` is a list with 30 items, where each of the list items is of shape (60,78). Lets train for 100 epochs. This will take a few minutes. \n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/100\n",
      "60/60 [==============================] - 5s - loss: 125.9988 - dense_1_loss_1: 4.3549 - dense_1_loss_2: 4.3434 - dense_1_loss_3: 4.3513 - dense_1_loss_4: 4.3460 - dense_1_loss_5: 4.3460 - dense_1_loss_6: 4.3435 - dense_1_loss_7: 4.3445 - dense_1_loss_8: 4.3433 - dense_1_loss_9: 4.3430 - dense_1_loss_10: 4.3437 - dense_1_loss_11: 4.3416 - dense_1_loss_12: 4.3452 - dense_1_loss_13: 4.3424 - dense_1_loss_14: 4.3373 - dense_1_loss_15: 4.3481 - dense_1_loss_16: 4.3379 - dense_1_loss_17: 4.3479 - dense_1_loss_18: 4.3476 - dense_1_loss_19: 4.3442 - dense_1_loss_20: 4.3445 - dense_1_loss_21: 4.3469 - dense_1_loss_22: 4.3438 - dense_1_loss_23: 4.3410 - dense_1_loss_24: 4.3466 - dense_1_loss_25: 4.3440 - dense_1_loss_26: 4.3434 - dense_1_loss_27: 4.3435 - dense_1_loss_28: 4.3451 - dense_1_loss_29: 4.3480 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.0167 - dense_1_acc_2: 0.1167 - dense_1_acc_3: 0.0167 - dense_1_acc_4: 0.0500 - dense_1_acc_5: 0.0667 - dense_1_acc_6: 0.1333 - dense_1_acc_7: 0.0667 - dense_1_acc_8: 0.0833 - dense_1_acc_9: 0.1167 - dense_1_acc_10: 0.0833 - dense_1_acc_11: 0.1167 - dense_1_acc_12: 0.0667 - dense_1_acc_13: 0.1000 - dense_1_acc_14: 0.1000 - dense_1_acc_15: 0.0500 - dense_1_acc_16: 0.1000 - dense_1_acc_17: 0.0500 - dense_1_acc_18: 0.0667 - dense_1_acc_19: 0.0167 - dense_1_acc_20: 0.0667 - dense_1_acc_21: 0.0667 - dense_1_acc_22: 0.0667 - dense_1_acc_23: 0.1333 - dense_1_acc_24: 0.0833 - dense_1_acc_25: 0.0333 - dense_1_acc_26: 0.0500 - dense_1_acc_27: 0.1000 - dense_1_acc_28: 0.0667 - dense_1_acc_29: 0.0667 - dense_1_acc_30: 0.0667                                                                 \n",
      "Epoch 2/100\n",
      "60/60 [==============================] - 0s - loss: 124.5246 - dense_1_loss_1: 4.3334 - dense_1_loss_2: 4.2932 - dense_1_loss_3: 4.2986 - dense_1_loss_4: 4.3003 - dense_1_loss_5: 4.2943 - dense_1_loss_6: 4.2940 - dense_1_loss_7: 4.2924 - dense_1_loss_8: 4.2885 - dense_1_loss_9: 4.2936 - dense_1_loss_10: 4.2860 - dense_1_loss_11: 4.2883 - dense_1_loss_12: 4.2968 - dense_1_loss_13: 4.2875 - dense_1_loss_14: 4.2838 - dense_1_loss_15: 4.2944 - dense_1_loss_16: 4.2827 - dense_1_loss_17: 4.2959 - dense_1_loss_18: 4.2975 - dense_1_loss_19: 4.2894 - dense_1_loss_20: 4.2970 - dense_1_loss_21: 4.2978 - dense_1_loss_22: 4.2915 - dense_1_loss_23: 4.2884 - dense_1_loss_24: 4.2941 - dense_1_loss_25: 4.2964 - dense_1_loss_26: 4.2864 - dense_1_loss_27: 4.2882 - dense_1_loss_28: 4.2938 - dense_1_loss_29: 4.3004 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.0667 - dense_1_acc_2: 0.3167 - dense_1_acc_3: 0.3333 - dense_1_acc_4: 0.2333 - dense_1_acc_5: 0.2833 - dense_1_acc_6: 0.2667 - dense_1_acc_7: 0.3500 - dense_1_acc_8: 0.4167 - dense_1_acc_9: 0.3333 - dense_1_acc_10: 0.4000 - dense_1_acc_11: 0.3333 - dense_1_acc_12: 0.3167 - dense_1_acc_13: 0.3667 - dense_1_acc_14: 0.4000 - dense_1_acc_15: 0.2667 - dense_1_acc_16: 0.3500 - dense_1_acc_17: 0.3500 - dense_1_acc_18: 0.3000 - dense_1_acc_19: 0.3167 - dense_1_acc_20: 0.2167 - dense_1_acc_21: 0.3500 - dense_1_acc_22: 0.3833 - dense_1_acc_23: 0.2833 - dense_1_acc_24: 0.2667 - dense_1_acc_25: 0.2167 - dense_1_acc_26: 0.4333 - dense_1_acc_27: 0.3167 - dense_1_acc_28: 0.3000 - dense_1_acc_29: 0.2333 - dense_1_acc_30: 0.0833     \n",
      "Epoch 3/100\n",
      "60/60 [==============================] - 0s - loss: 122.9390 - dense_1_loss_1: 4.3124 - dense_1_loss_2: 4.2377 - dense_1_loss_3: 4.2406 - dense_1_loss_4: 4.2471 - dense_1_loss_5: 4.2395 - dense_1_loss_6: 4.2403 - dense_1_loss_7: 4.2373 - dense_1_loss_8: 4.2294 - dense_1_loss_9: 4.2353 - dense_1_loss_10: 4.2220 - dense_1_loss_11: 4.2315 - dense_1_loss_12: 4.2448 - dense_1_loss_13: 4.2288 - dense_1_loss_14: 4.2266 - dense_1_loss_15: 4.2392 - dense_1_loss_16: 4.2245 - dense_1_loss_17: 4.2447 - dense_1_loss_18: 4.2444 - dense_1_loss_19: 4.2311 - dense_1_loss_20: 4.2444 - dense_1_loss_21: 4.2468 - dense_1_loss_22: 4.2366 - dense_1_loss_23: 4.2288 - dense_1_loss_24: 4.2353 - dense_1_loss_25: 4.2452 - dense_1_loss_26: 4.2272 - dense_1_loss_27: 4.2318 - dense_1_loss_28: 4.2361 - dense_1_loss_29: 4.2497 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.0667 - dense_1_acc_2: 0.3667 - dense_1_acc_3: 0.4167 - dense_1_acc_4: 0.3167 - dense_1_acc_5: 0.3333 - dense_1_acc_6: 0.3333 - dense_1_acc_7: 0.4167 - dense_1_acc_8: 0.4667 - dense_1_acc_9: 0.4167 - dense_1_acc_10: 0.4500 - dense_1_acc_11: 0.3833 - dense_1_acc_12: 0.4000 - dense_1_acc_13: 0.4500 - dense_1_acc_14: 0.5167 - dense_1_acc_15: 0.3667 - dense_1_acc_16: 0.3833 - dense_1_acc_17: 0.4000 - dense_1_acc_18: 0.3833 - dense_1_acc_19: 0.4000 - dense_1_acc_20: 0.3000 - dense_1_acc_21: 0.4500 - dense_1_acc_22: 0.3833 - dense_1_acc_23: 0.3667 - dense_1_acc_24: 0.3333 - dense_1_acc_25: 0.3167 - dense_1_acc_26: 0.5667 - dense_1_acc_27: 0.4500 - dense_1_acc_28: 0.4000 - dense_1_acc_29: 0.2833 - dense_1_acc_30: 0.0333     \n",
      "Epoch 4/100\n",
      "60/60 [==============================] - 0s - loss: 121.1156 - dense_1_loss_1: 4.2875 - dense_1_loss_2: 4.1744 - dense_1_loss_3: 4.1720 - dense_1_loss_4: 4.1885 - dense_1_loss_5: 4.1733 - dense_1_loss_6: 4.1800 - dense_1_loss_7: 4.1748 - dense_1_loss_8: 4.1571 - dense_1_loss_9: 4.1716 - dense_1_loss_10: 4.1500 - dense_1_loss_11: 4.1684 - dense_1_loss_12: 4.1846 - dense_1_loss_13: 4.1603 - dense_1_loss_14: 4.1609 - dense_1_loss_15: 4.1719 - dense_1_loss_16: 4.1583 - dense_1_loss_17: 4.1836 - dense_1_loss_18: 4.1800 - dense_1_loss_19: 4.1640 - dense_1_loss_20: 4.1874 - dense_1_loss_21: 4.1885 - dense_1_loss_22: 4.1717 - dense_1_loss_23: 4.1622 - dense_1_loss_24: 4.1687 - dense_1_loss_25: 4.1875 - dense_1_loss_26: 4.1599 - dense_1_loss_27: 4.1645 - dense_1_loss_28: 4.1741 - dense_1_loss_29: 4.1897 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.0667 - dense_1_acc_2: 0.3333 - dense_1_acc_3: 0.3667 - dense_1_acc_4: 0.3000 - dense_1_acc_5: 0.3667 - dense_1_acc_6: 0.3167 - dense_1_acc_7: 0.4500 - dense_1_acc_8: 0.4667 - dense_1_acc_9: 0.4000 - dense_1_acc_10: 0.4333 - dense_1_acc_11: 0.4000 - dense_1_acc_12: 0.3667 - dense_1_acc_13: 0.4333 - dense_1_acc_14: 0.4500 - dense_1_acc_15: 0.3333 - dense_1_acc_16: 0.3667 - dense_1_acc_17: 0.3667 - dense_1_acc_18: 0.3333 - dense_1_acc_19: 0.4000 - dense_1_acc_20: 0.2833 - dense_1_acc_21: 0.3833 - dense_1_acc_22: 0.3667 - dense_1_acc_23: 0.3167 - dense_1_acc_24: 0.3500 - dense_1_acc_25: 0.3167 - dense_1_acc_26: 0.5500 - dense_1_acc_27: 0.5000 - dense_1_acc_28: 0.4333 - dense_1_acc_29: 0.2833 - dense_1_acc_30: 0.0167     \n",
      "Epoch 5/100\n",
      "60/60 [==============================] - 0s - loss: 119.0328 - dense_1_loss_1: 4.2593 - dense_1_loss_2: 4.1000 - dense_1_loss_3: 4.0995 - dense_1_loss_4: 4.1206 - dense_1_loss_5: 4.0985 - dense_1_loss_6: 4.1099 - dense_1_loss_7: 4.1042 - dense_1_loss_8: 4.0797 - dense_1_loss_9: 4.0972 - dense_1_loss_10: 4.0679 - dense_1_loss_11: 4.0929 - dense_1_loss_12: 4.1191 - dense_1_loss_13: 4.0834 - dense_1_loss_14: 4.0833 - dense_1_loss_15: 4.0979 - dense_1_loss_16: 4.0794 - dense_1_loss_17: 4.1144 - dense_1_loss_18: 4.1080 - dense_1_loss_19: 4.0873 - dense_1_loss_20: 4.1223 - dense_1_loss_21: 4.1224 - dense_1_loss_22: 4.0990 - dense_1_loss_23: 4.0837 - dense_1_loss_24: 4.0903 - dense_1_loss_25: 4.1180 - dense_1_loss_26: 4.0820 - dense_1_loss_27: 4.0882 - dense_1_loss_28: 4.1005 - dense_1_loss_29: 4.1238 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.0667 - dense_1_acc_2: 0.3333 - dense_1_acc_3: 0.3667 - dense_1_acc_4: 0.3000 - dense_1_acc_5: 0.4167 - dense_1_acc_6: 0.3167 - dense_1_acc_7: 0.4500 - dense_1_acc_8: 0.4667 - dense_1_acc_9: 0.3500 - dense_1_acc_10: 0.4167 - dense_1_acc_11: 0.4000 - dense_1_acc_12: 0.3333 - dense_1_acc_13: 0.4667 - dense_1_acc_14: 0.3833 - dense_1_acc_15: 0.3500 - dense_1_acc_16: 0.3667 - dense_1_acc_17: 0.3667 - dense_1_acc_18: 0.3167 - dense_1_acc_19: 0.4333 - dense_1_acc_20: 0.3167 - dense_1_acc_21: 0.3833 - dense_1_acc_22: 0.3667 - dense_1_acc_23: 0.3167 - dense_1_acc_24: 0.3333 - dense_1_acc_25: 0.3833 - dense_1_acc_26: 0.5000 - dense_1_acc_27: 0.4833 - dense_1_acc_28: 0.4500 - dense_1_acc_29: 0.2667 - dense_1_acc_30: 0.0167     \n",
      "Epoch 6/100\n",
      "60/60 [==============================] - 0s - loss: 116.6487 - dense_1_loss_1: 4.2259 - dense_1_loss_2: 4.0189 - dense_1_loss_3: 4.0104 - dense_1_loss_4: 4.0445 - dense_1_loss_5: 4.0180 - dense_1_loss_6: 4.0282 - dense_1_loss_7: 4.0225 - dense_1_loss_8: 3.9846 - dense_1_loss_9: 4.0156 - dense_1_loss_10: 3.9666 - dense_1_loss_11: 4.0077 - dense_1_loss_12: 4.0422 - dense_1_loss_13: 3.9962 - dense_1_loss_14: 3.9944 - dense_1_loss_15: 4.0144 - dense_1_loss_16: 3.9901 - dense_1_loss_17: 4.0366 - dense_1_loss_18: 4.0283 - dense_1_loss_19: 3.9986 - dense_1_loss_20: 4.0439 - dense_1_loss_21: 4.0462 - dense_1_loss_22: 4.0205 - dense_1_loss_23: 3.9988 - dense_1_loss_24: 3.9987 - dense_1_loss_25: 4.0442 - dense_1_loss_26: 3.9937 - dense_1_loss_27: 3.9998 - dense_1_loss_28: 4.0104 - dense_1_loss_29: 4.0489 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.0667 - dense_1_acc_2: 0.2667 - dense_1_acc_3: 0.3500 - dense_1_acc_4: 0.3167 - dense_1_acc_5: 0.4000 - dense_1_acc_6: 0.3167 - dense_1_acc_7: 0.4500 - dense_1_acc_8: 0.4667 - dense_1_acc_9: 0.3500 - dense_1_acc_10: 0.4500 - dense_1_acc_11: 0.4000 - dense_1_acc_12: 0.3333 - dense_1_acc_13: 0.5000 - dense_1_acc_14: 0.3667 - dense_1_acc_15: 0.3500 - dense_1_acc_16: 0.3500 - dense_1_acc_17: 0.3667 - dense_1_acc_18: 0.3167 - dense_1_acc_19: 0.4167 - dense_1_acc_20: 0.3167 - dense_1_acc_21: 0.3833 - dense_1_acc_22: 0.3833 - dense_1_acc_23: 0.3000 - dense_1_acc_24: 0.3333 - dense_1_acc_25: 0.3833 - dense_1_acc_26: 0.4833 - dense_1_acc_27: 0.5000 - dense_1_acc_28: 0.4333 - dense_1_acc_29: 0.2667 - dense_1_acc_30: 0.0167     \n",
      "Epoch 7/100\n",
      "60/60 [==============================] - 0s - loss: 113.9387 - dense_1_loss_1: 4.1886 - dense_1_loss_2: 3.9295 - dense_1_loss_3: 3.9129 - dense_1_loss_4: 3.9602 - dense_1_loss_5: 3.9185 - dense_1_loss_6: 3.9426 - dense_1_loss_7: 3.9348 - dense_1_loss_8: 3.8814 - dense_1_loss_9: 3.9154 - dense_1_loss_10: 3.8631 - dense_1_loss_11: 3.9046 - dense_1_loss_12: 3.9578 - dense_1_loss_13: 3.8938 - dense_1_loss_14: 3.8944 - dense_1_loss_15: 3.9174 - dense_1_loss_16: 3.8893 - dense_1_loss_17: 3.9454 - dense_1_loss_18: 3.9369 - dense_1_loss_19: 3.8944 - dense_1_loss_20: 3.9567 - dense_1_loss_21: 3.9603 - dense_1_loss_22: 3.9229 - dense_1_loss_23: 3.8972 - dense_1_loss_24: 3.8992 - dense_1_loss_25: 3.9516 - dense_1_loss_26: 3.8934 - dense_1_loss_27: 3.8968 - dense_1_loss_28: 3.9174 - dense_1_loss_29: 3.9623 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.0667 - dense_1_acc_2: 0.2667 - dense_1_acc_3: 0.3500 - dense_1_acc_4: 0.3167 - dense_1_acc_5: 0.4000 - dense_1_acc_6: 0.3167 - dense_1_acc_7: 0.4500 - dense_1_acc_8: 0.4667 - dense_1_acc_9: 0.3500 - dense_1_acc_10: 0.4500 - dense_1_acc_11: 0.4000 - dense_1_acc_12: 0.3333 - dense_1_acc_13: 0.5000 - dense_1_acc_14: 0.3667 - dense_1_acc_15: 0.3500 - dense_1_acc_16: 0.3500 - dense_1_acc_17: 0.3667 - dense_1_acc_18: 0.3167 - dense_1_acc_19: 0.4167 - dense_1_acc_20: 0.3167 - dense_1_acc_21: 0.3833 - dense_1_acc_22: 0.3833 - dense_1_acc_23: 0.3000 - dense_1_acc_24: 0.3333 - dense_1_acc_25: 0.3833 - dense_1_acc_26: 0.4833 - dense_1_acc_27: 0.5000 - dense_1_acc_28: 0.4333 - dense_1_acc_29: 0.2667 - dense_1_acc_30: 0.0167     \n",
      "Epoch 8/100\n",
      "60/60 [==============================] - 0s - loss: 110.9318 - dense_1_loss_1: 4.1487 - dense_1_loss_2: 3.8225 - dense_1_loss_3: 3.8052 - dense_1_loss_4: 3.8597 - dense_1_loss_5: 3.8113 - dense_1_loss_6: 3.8405 - dense_1_loss_7: 3.8312 - dense_1_loss_8: 3.7618 - dense_1_loss_9: 3.8079 - dense_1_loss_10: 3.7407 - dense_1_loss_11: 3.7978 - dense_1_loss_12: 3.8663 - dense_1_loss_13: 3.7839 - dense_1_loss_14: 3.7842 - dense_1_loss_15: 3.8082 - dense_1_loss_16: 3.7750 - dense_1_loss_17: 3.8469 - dense_1_loss_18: 3.8321 - dense_1_loss_19: 3.7830 - dense_1_loss_20: 3.8598 - dense_1_loss_21: 3.8662 - dense_1_loss_22: 3.8220 - dense_1_loss_23: 3.7892 - dense_1_loss_24: 3.7891 - dense_1_loss_25: 3.8541 - dense_1_loss_26: 3.7821 - dense_1_loss_27: 3.7835 - dense_1_loss_28: 3.8138 - dense_1_loss_29: 3.8652 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.0667 - dense_1_acc_2: 0.2667 - dense_1_acc_3: 0.3500 - dense_1_acc_4: 0.3167 - dense_1_acc_5: 0.4000 - dense_1_acc_6: 0.3167 - dense_1_acc_7: 0.4500 - dense_1_acc_8: 0.4667 - dense_1_acc_9: 0.3500 - dense_1_acc_10: 0.4500 - dense_1_acc_11: 0.4000 - dense_1_acc_12: 0.3333 - dense_1_acc_13: 0.5000 - dense_1_acc_14: 0.3667 - dense_1_acc_15: 0.3500 - dense_1_acc_16: 0.3500 - dense_1_acc_17: 0.3667 - dense_1_acc_18: 0.3167 - dense_1_acc_19: 0.4167 - dense_1_acc_20: 0.3167 - dense_1_acc_21: 0.3833 - dense_1_acc_22: 0.3833 - dense_1_acc_23: 0.3000 - dense_1_acc_24: 0.3333 - dense_1_acc_25: 0.3833 - dense_1_acc_26: 0.4833 - dense_1_acc_27: 0.5000 - dense_1_acc_28: 0.4333 - dense_1_acc_29: 0.2667 - dense_1_acc_30: 0.0167         \n",
      "Epoch 9/100\n",
      "60/60 [==============================] - 0s - loss: 107.7071 - dense_1_loss_1: 4.1107 - dense_1_loss_2: 3.7109 - dense_1_loss_3: 3.6839 - dense_1_loss_4: 3.7604 - dense_1_loss_5: 3.6948 - dense_1_loss_6: 3.7378 - dense_1_loss_7: 3.7248 - dense_1_loss_8: 3.6356 - dense_1_loss_9: 3.6885 - dense_1_loss_10: 3.6122 - dense_1_loss_11: 3.6809 - dense_1_loss_12: 3.7709 - dense_1_loss_13: 3.6661 - dense_1_loss_14: 3.6645 - dense_1_loss_15: 3.6941 - dense_1_loss_16: 3.6592 - dense_1_loss_17: 3.7318 - dense_1_loss_18: 3.7237 - dense_1_loss_19: 3.6581 - dense_1_loss_20: 3.7583 - dense_1_loss_21: 3.7651 - dense_1_loss_22: 3.7118 - dense_1_loss_23: 3.6690 - dense_1_loss_24: 3.6651 - dense_1_loss_25: 3.7475 - dense_1_loss_26: 3.6540 - dense_1_loss_27: 3.6597 - dense_1_loss_28: 3.7032 - dense_1_loss_29: 3.7643 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.0667 - dense_1_acc_2: 0.2667 - dense_1_acc_3: 0.3500 - dense_1_acc_4: 0.3000 - dense_1_acc_5: 0.4000 - dense_1_acc_6: 0.3000 - dense_1_acc_7: 0.4500 - dense_1_acc_8: 0.4667 - dense_1_acc_9: 0.3333 - dense_1_acc_10: 0.4500 - dense_1_acc_11: 0.4167 - dense_1_acc_12: 0.3167 - dense_1_acc_13: 0.5000 - dense_1_acc_14: 0.3667 - dense_1_acc_15: 0.3333 - dense_1_acc_16: 0.3667 - dense_1_acc_17: 0.3667 - dense_1_acc_18: 0.3167 - dense_1_acc_19: 0.4167 - dense_1_acc_20: 0.3167 - dense_1_acc_21: 0.3500 - dense_1_acc_22: 0.3500 - dense_1_acc_23: 0.2833 - dense_1_acc_24: 0.3333 - dense_1_acc_25: 0.4000 - dense_1_acc_26: 0.4667 - dense_1_acc_27: 0.4333 - dense_1_acc_28: 0.4167 - dense_1_acc_29: 0.2667 - dense_1_acc_30: 0.0167         \n",
      "Epoch 10/100\n",
      "60/60 [==============================] - 0s - loss: 104.3212 - dense_1_loss_1: 4.0713 - dense_1_loss_2: 3.5928 - dense_1_loss_3: 3.5614 - dense_1_loss_4: 3.6556 - dense_1_loss_5: 3.5703 - dense_1_loss_6: 3.6271 - dense_1_loss_7: 3.6151 - dense_1_loss_8: 3.5038 - dense_1_loss_9: 3.5711 - dense_1_loss_10: 3.4696 - dense_1_loss_11: 3.5566 - dense_1_loss_12: 3.6718 - dense_1_loss_13: 3.5323 - dense_1_loss_14: 3.5427 - dense_1_loss_15: 3.5720 - dense_1_loss_16: 3.5340 - dense_1_loss_17: 3.6188 - dense_1_loss_18: 3.5993 - dense_1_loss_19: 3.5284 - dense_1_loss_20: 3.6563 - dense_1_loss_21: 3.6539 - dense_1_loss_22: 3.5942 - dense_1_loss_23: 3.5437 - dense_1_loss_24: 3.5394 - dense_1_loss_25: 3.6371 - dense_1_loss_26: 3.5259 - dense_1_loss_27: 3.5338 - dense_1_loss_28: 3.5836 - dense_1_loss_29: 3.6593 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.0667 - dense_1_acc_2: 0.2667 - dense_1_acc_3: 0.3500 - dense_1_acc_4: 0.3000 - dense_1_acc_5: 0.4000 - dense_1_acc_6: 0.3000 - dense_1_acc_7: 0.4500 - dense_1_acc_8: 0.4667 - dense_1_acc_9: 0.3333 - dense_1_acc_10: 0.4500 - dense_1_acc_11: 0.4167 - dense_1_acc_12: 0.3167 - dense_1_acc_13: 0.5000 - dense_1_acc_14: 0.3667 - dense_1_acc_15: 0.3333 - dense_1_acc_16: 0.3667 - dense_1_acc_17: 0.3667 - dense_1_acc_18: 0.3167 - dense_1_acc_19: 0.4167 - dense_1_acc_20: 0.3167 - dense_1_acc_21: 0.3500 - dense_1_acc_22: 0.3500 - dense_1_acc_23: 0.2833 - dense_1_acc_24: 0.3333 - dense_1_acc_25: 0.4000 - dense_1_acc_26: 0.4667 - dense_1_acc_27: 0.4333 - dense_1_acc_28: 0.4167 - dense_1_acc_29: 0.2667 - dense_1_acc_30: 0.0167     \n",
      "Epoch 11/100\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "60/60 [==============================] - 0s - loss: 100.7985 - dense_1_loss_1: 4.0342 - dense_1_loss_2: 3.4731 - dense_1_loss_3: 3.4368 - dense_1_loss_4: 3.5362 - dense_1_loss_5: 3.4480 - dense_1_loss_6: 3.5095 - dense_1_loss_7: 3.4964 - dense_1_loss_8: 3.3632 - dense_1_loss_9: 3.4450 - dense_1_loss_10: 3.3265 - dense_1_loss_11: 3.4333 - dense_1_loss_12: 3.5598 - dense_1_loss_13: 3.4029 - dense_1_loss_14: 3.4092 - dense_1_loss_15: 3.4549 - dense_1_loss_16: 3.4050 - dense_1_loss_17: 3.5066 - dense_1_loss_18: 3.4744 - dense_1_loss_19: 3.3952 - dense_1_loss_20: 3.5458 - dense_1_loss_21: 3.5363 - dense_1_loss_22: 3.4737 - dense_1_loss_23: 3.4154 - dense_1_loss_24: 3.4007 - dense_1_loss_25: 3.5230 - dense_1_loss_26: 3.3854 - dense_1_loss_27: 3.4061 - dense_1_loss_28: 3.4556 - dense_1_loss_29: 3.5465 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.0333 - dense_1_acc_2: 0.2667 - dense_1_acc_3: 0.3500 - dense_1_acc_4: 0.3000 - dense_1_acc_5: 0.4000 - dense_1_acc_6: 0.3000 - dense_1_acc_7: 0.4500 - dense_1_acc_8: 0.4667 - dense_1_acc_9: 0.3333 - dense_1_acc_10: 0.4500 - dense_1_acc_11: 0.4167 - dense_1_acc_12: 0.3167 - dense_1_acc_13: 0.5000 - dense_1_acc_14: 0.3667 - dense_1_acc_15: 0.3333 - dense_1_acc_16: 0.3667 - dense_1_acc_17: 0.3667 - dense_1_acc_18: 0.3167 - dense_1_acc_19: 0.4167 - dense_1_acc_20: 0.3167 - dense_1_acc_21: 0.3500 - dense_1_acc_22: 0.3500 - dense_1_acc_23: 0.2833 - dense_1_acc_24: 0.3333 - dense_1_acc_25: 0.4000 - dense_1_acc_26: 0.4667 - dense_1_acc_27: 0.4333 - dense_1_acc_28: 0.4167 - dense_1_acc_29: 0.2667 - dense_1_acc_30: 0.0167         \n",
      "Epoch 12/100\n",
      "60/60 [==============================] - 0s - loss: 97.2713 - dense_1_loss_1: 4.0041 - dense_1_loss_2: 3.3543 - dense_1_loss_3: 3.3053 - dense_1_loss_4: 3.4272 - dense_1_loss_5: 3.3151 - dense_1_loss_6: 3.4010 - dense_1_loss_7: 3.3653 - dense_1_loss_8: 3.2191 - dense_1_loss_9: 3.3189 - dense_1_loss_10: 3.1809 - dense_1_loss_11: 3.3070 - dense_1_loss_12: 3.4620 - dense_1_loss_13: 3.2576 - dense_1_loss_14: 3.2843 - dense_1_loss_15: 3.3311 - dense_1_loss_16: 3.2763 - dense_1_loss_17: 3.3847 - dense_1_loss_18: 3.3495 - dense_1_loss_19: 3.2628 - dense_1_loss_20: 3.4399 - dense_1_loss_21: 3.4242 - dense_1_loss_22: 3.3560 - dense_1_loss_23: 3.2822 - dense_1_loss_24: 3.2672 - dense_1_loss_25: 3.4107 - dense_1_loss_26: 3.2491 - dense_1_loss_27: 3.2684 - dense_1_loss_28: 3.3400 - dense_1_loss_29: 3.4269 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.0333 - dense_1_acc_2: 0.2667 - dense_1_acc_3: 0.3500 - dense_1_acc_4: 0.3000 - dense_1_acc_5: 0.4000 - dense_1_acc_6: 0.3000 - dense_1_acc_7: 0.4500 - dense_1_acc_8: 0.4667 - dense_1_acc_9: 0.3333 - dense_1_acc_10: 0.4500 - dense_1_acc_11: 0.4167 - dense_1_acc_12: 0.3167 - dense_1_acc_13: 0.5000 - dense_1_acc_14: 0.3667 - dense_1_acc_15: 0.3333 - dense_1_acc_16: 0.3667 - dense_1_acc_17: 0.3667 - dense_1_acc_18: 0.3167 - dense_1_acc_19: 0.4167 - dense_1_acc_20: 0.3167 - dense_1_acc_21: 0.3500 - dense_1_acc_22: 0.3500 - dense_1_acc_23: 0.2833 - dense_1_acc_24: 0.3333 - dense_1_acc_25: 0.4000 - dense_1_acc_26: 0.4667 - dense_1_acc_27: 0.4333 - dense_1_acc_28: 0.4167 - dense_1_acc_29: 0.2667 - dense_1_acc_30: 0.0167         \n",
      "Epoch 13/100\n",
      "60/60 [==============================] - 0s - loss: 93.8153 - dense_1_loss_1: 3.9616 - dense_1_loss_2: 3.2373 - dense_1_loss_3: 3.1772 - dense_1_loss_4: 3.3111 - dense_1_loss_5: 3.1936 - dense_1_loss_6: 3.2858 - dense_1_loss_7: 3.2438 - dense_1_loss_8: 3.0842 - dense_1_loss_9: 3.1973 - dense_1_loss_10: 3.0434 - dense_1_loss_11: 3.1778 - dense_1_loss_12: 3.3473 - dense_1_loss_13: 3.1305 - dense_1_loss_14: 3.1596 - dense_1_loss_15: 3.2151 - dense_1_loss_16: 3.1594 - dense_1_loss_17: 3.2582 - dense_1_loss_18: 3.2259 - dense_1_loss_19: 3.1277 - dense_1_loss_20: 3.3289 - dense_1_loss_21: 3.3094 - dense_1_loss_22: 3.2331 - dense_1_loss_23: 3.1605 - dense_1_loss_24: 3.1401 - dense_1_loss_25: 3.3016 - dense_1_loss_26: 3.1160 - dense_1_loss_27: 3.1450 - dense_1_loss_28: 3.2172 - dense_1_loss_29: 3.3268 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.0333 - dense_1_acc_2: 0.2833 - dense_1_acc_3: 0.3500 - dense_1_acc_4: 0.3000 - dense_1_acc_5: 0.4000 - dense_1_acc_6: 0.2833 - dense_1_acc_7: 0.4500 - dense_1_acc_8: 0.4833 - dense_1_acc_9: 0.3333 - dense_1_acc_10: 0.4500 - dense_1_acc_11: 0.4000 - dense_1_acc_12: 0.3167 - dense_1_acc_13: 0.5167 - dense_1_acc_14: 0.3500 - dense_1_acc_15: 0.3167 - dense_1_acc_16: 0.3833 - dense_1_acc_17: 0.3667 - dense_1_acc_18: 0.3000 - dense_1_acc_19: 0.4167 - dense_1_acc_20: 0.3333 - dense_1_acc_21: 0.3333 - dense_1_acc_22: 0.3167 - dense_1_acc_23: 0.3167 - dense_1_acc_24: 0.3500 - dense_1_acc_25: 0.3833 - dense_1_acc_26: 0.4833 - dense_1_acc_27: 0.4500 - dense_1_acc_28: 0.4000 - dense_1_acc_29: 0.2667 - dense_1_acc_30: 0.0167         \n",
      "Epoch 14/100\n",
      "60/60 [==============================] - 0s - loss: 90.3233 - dense_1_loss_1: 3.9405 - dense_1_loss_2: 3.1206 - dense_1_loss_3: 3.0469 - dense_1_loss_4: 3.1916 - dense_1_loss_5: 3.0622 - dense_1_loss_6: 3.1677 - dense_1_loss_7: 3.1167 - dense_1_loss_8: 2.9439 - dense_1_loss_9: 3.0671 - dense_1_loss_10: 2.9053 - dense_1_loss_11: 3.0573 - dense_1_loss_12: 3.2461 - dense_1_loss_13: 2.9944 - dense_1_loss_14: 3.0286 - dense_1_loss_15: 3.0956 - dense_1_loss_16: 3.0388 - dense_1_loss_17: 3.1399 - dense_1_loss_18: 3.0939 - dense_1_loss_19: 2.9971 - dense_1_loss_20: 3.2210 - dense_1_loss_21: 3.1949 - dense_1_loss_22: 3.1152 - dense_1_loss_23: 3.0324 - dense_1_loss_24: 3.0106 - dense_1_loss_25: 3.1850 - dense_1_loss_26: 2.9798 - dense_1_loss_27: 3.0152 - dense_1_loss_28: 3.1046 - dense_1_loss_29: 3.2103 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.0333 - dense_1_acc_2: 0.3167 - dense_1_acc_3: 0.3667 - dense_1_acc_4: 0.3333 - dense_1_acc_5: 0.4000 - dense_1_acc_6: 0.2833 - dense_1_acc_7: 0.4500 - dense_1_acc_8: 0.4833 - dense_1_acc_9: 0.3500 - dense_1_acc_10: 0.4833 - dense_1_acc_11: 0.4000 - dense_1_acc_12: 0.3333 - dense_1_acc_13: 0.5167 - dense_1_acc_14: 0.3500 - dense_1_acc_15: 0.3000 - dense_1_acc_16: 0.4000 - dense_1_acc_17: 0.3833 - dense_1_acc_18: 0.3000 - dense_1_acc_19: 0.4000 - dense_1_acc_20: 0.3333 - dense_1_acc_21: 0.3500 - dense_1_acc_22: 0.3333 - dense_1_acc_23: 0.3167 - dense_1_acc_24: 0.3667 - dense_1_acc_25: 0.3667 - dense_1_acc_26: 0.4833 - dense_1_acc_27: 0.4500 - dense_1_acc_28: 0.4000 - dense_1_acc_29: 0.2833 - dense_1_acc_30: 0.0167             \n",
      "Epoch 15/100\n",
      "60/60 [==============================] - 0s - loss: 86.8686 - dense_1_loss_1: 3.9227 - dense_1_loss_2: 3.0073 - dense_1_loss_3: 2.9182 - dense_1_loss_4: 3.0777 - dense_1_loss_5: 2.9343 - dense_1_loss_6: 3.0542 - dense_1_loss_7: 2.9928 - dense_1_loss_8: 2.8062 - dense_1_loss_9: 2.9411 - dense_1_loss_10: 2.7691 - dense_1_loss_11: 2.9341 - dense_1_loss_12: 3.1405 - dense_1_loss_13: 2.8548 - dense_1_loss_14: 2.9030 - dense_1_loss_15: 2.9844 - dense_1_loss_16: 2.9233 - dense_1_loss_17: 3.0125 - dense_1_loss_18: 2.9617 - dense_1_loss_19: 2.8652 - dense_1_loss_20: 3.1103 - dense_1_loss_21: 3.0790 - dense_1_loss_22: 2.9927 - dense_1_loss_23: 2.9080 - dense_1_loss_24: 2.8838 - dense_1_loss_25: 3.0736 - dense_1_loss_26: 2.8417 - dense_1_loss_27: 2.8895 - dense_1_loss_28: 2.9894 - dense_1_loss_29: 3.0974 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.0333 - dense_1_acc_2: 0.3500 - dense_1_acc_3: 0.3833 - dense_1_acc_4: 0.3000 - dense_1_acc_5: 0.4000 - dense_1_acc_6: 0.3167 - dense_1_acc_7: 0.4833 - dense_1_acc_8: 0.5167 - dense_1_acc_9: 0.3833 - dense_1_acc_10: 0.5000 - dense_1_acc_11: 0.3833 - dense_1_acc_12: 0.3500 - dense_1_acc_13: 0.5333 - dense_1_acc_14: 0.3500 - dense_1_acc_15: 0.3000 - dense_1_acc_16: 0.4167 - dense_1_acc_17: 0.3833 - dense_1_acc_18: 0.3000 - dense_1_acc_19: 0.4000 - dense_1_acc_20: 0.3500 - dense_1_acc_21: 0.3500 - dense_1_acc_22: 0.3333 - dense_1_acc_23: 0.3167 - dense_1_acc_24: 0.4000 - dense_1_acc_25: 0.3667 - dense_1_acc_26: 0.5000 - dense_1_acc_27: 0.4167 - dense_1_acc_28: 0.4167 - dense_1_acc_29: 0.3167 - dense_1_acc_30: 0.0167             \n",
      "Epoch 16/100\n",
      "60/60 [==============================] - 0s - loss: 83.4024 - dense_1_loss_1: 3.9109 - dense_1_loss_2: 2.8888 - dense_1_loss_3: 2.7906 - dense_1_loss_4: 2.9541 - dense_1_loss_5: 2.8142 - dense_1_loss_6: 2.9347 - dense_1_loss_7: 2.8644 - dense_1_loss_8: 2.6717 - dense_1_loss_9: 2.8211 - dense_1_loss_10: 2.6365 - dense_1_loss_11: 2.8182 - dense_1_loss_12: 3.0284 - dense_1_loss_13: 2.7135 - dense_1_loss_14: 2.7766 - dense_1_loss_15: 2.8748 - dense_1_loss_16: 2.8023 - dense_1_loss_17: 2.8871 - dense_1_loss_18: 2.8220 - dense_1_loss_19: 2.7369 - dense_1_loss_20: 3.0006 - dense_1_loss_21: 2.9558 - dense_1_loss_22: 2.8706 - dense_1_loss_23: 2.7838 - dense_1_loss_24: 2.7598 - dense_1_loss_25: 2.9597 - dense_1_loss_26: 2.7114 - dense_1_loss_27: 2.7637 - dense_1_loss_28: 2.8762 - dense_1_loss_29: 2.9740 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.0333 - dense_1_acc_2: 0.3833 - dense_1_acc_3: 0.4000 - dense_1_acc_4: 0.3333 - dense_1_acc_5: 0.4500 - dense_1_acc_6: 0.3500 - dense_1_acc_7: 0.4833 - dense_1_acc_8: 0.5167 - dense_1_acc_9: 0.4333 - dense_1_acc_10: 0.5000 - dense_1_acc_11: 0.3500 - dense_1_acc_12: 0.3833 - dense_1_acc_13: 0.5500 - dense_1_acc_14: 0.3833 - dense_1_acc_15: 0.3167 - dense_1_acc_16: 0.4333 - dense_1_acc_17: 0.4333 - dense_1_acc_18: 0.3000 - dense_1_acc_19: 0.4667 - dense_1_acc_20: 0.3833 - dense_1_acc_21: 0.3500 - dense_1_acc_22: 0.3500 - dense_1_acc_23: 0.3333 - dense_1_acc_24: 0.4000 - dense_1_acc_25: 0.3500 - dense_1_acc_26: 0.5167 - dense_1_acc_27: 0.4333 - dense_1_acc_28: 0.4667 - dense_1_acc_29: 0.3333 - dense_1_acc_30: 0.0167         \n",
      "Epoch 17/100\n",
      "60/60 [==============================] - 0s - loss: 79.7907 - dense_1_loss_1: 3.9068 - dense_1_loss_2: 2.7638 - dense_1_loss_3: 2.6678 - dense_1_loss_4: 2.8351 - dense_1_loss_5: 2.6893 - dense_1_loss_6: 2.8031 - dense_1_loss_7: 2.7341 - dense_1_loss_8: 2.5346 - dense_1_loss_9: 2.6941 - dense_1_loss_10: 2.5029 - dense_1_loss_11: 2.6990 - dense_1_loss_12: 2.9051 - dense_1_loss_13: 2.5648 - dense_1_loss_14: 2.6411 - dense_1_loss_15: 2.7654 - dense_1_loss_16: 2.6772 - dense_1_loss_17: 2.7520 - dense_1_loss_18: 2.6731 - dense_1_loss_19: 2.6060 - dense_1_loss_20: 2.8825 - dense_1_loss_21: 2.8200 - dense_1_loss_22: 2.7367 - dense_1_loss_23: 2.6575 - dense_1_loss_24: 2.6274 - dense_1_loss_25: 2.8350 - dense_1_loss_26: 2.5739 - dense_1_loss_27: 2.6378 - dense_1_loss_28: 2.7563 - dense_1_loss_29: 2.8481 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.0333 - dense_1_acc_2: 0.3833 - dense_1_acc_3: 0.4000 - dense_1_acc_4: 0.3667 - dense_1_acc_5: 0.4667 - dense_1_acc_6: 0.3667 - dense_1_acc_7: 0.5500 - dense_1_acc_8: 0.5500 - dense_1_acc_9: 0.4667 - dense_1_acc_10: 0.5167 - dense_1_acc_11: 0.3667 - dense_1_acc_12: 0.4000 - dense_1_acc_13: 0.5500 - dense_1_acc_14: 0.4167 - dense_1_acc_15: 0.3500 - dense_1_acc_16: 0.4500 - dense_1_acc_17: 0.4500 - dense_1_acc_18: 0.3333 - dense_1_acc_19: 0.4667 - dense_1_acc_20: 0.3833 - dense_1_acc_21: 0.4000 - dense_1_acc_22: 0.3500 - dense_1_acc_23: 0.3500 - dense_1_acc_24: 0.4167 - dense_1_acc_25: 0.3667 - dense_1_acc_26: 0.5167 - dense_1_acc_27: 0.4333 - dense_1_acc_28: 0.4667 - dense_1_acc_29: 0.3667 - dense_1_acc_30: 0.0167         \n",
      "Epoch 18/100\n",
      "60/60 [==============================] - 0s - loss: 76.0308 - dense_1_loss_1: 3.9028 - dense_1_loss_2: 2.6300 - dense_1_loss_3: 2.5381 - dense_1_loss_4: 2.7028 - dense_1_loss_5: 2.5680 - dense_1_loss_6: 2.6591 - dense_1_loss_7: 2.5925 - dense_1_loss_8: 2.4008 - dense_1_loss_9: 2.5536 - dense_1_loss_10: 2.3654 - dense_1_loss_11: 2.5763 - dense_1_loss_12: 2.7709 - dense_1_loss_13: 2.4101 - dense_1_loss_14: 2.5044 - dense_1_loss_15: 2.6469 - dense_1_loss_16: 2.5489 - dense_1_loss_17: 2.6147 - dense_1_loss_18: 2.5153 - dense_1_loss_19: 2.4754 - dense_1_loss_20: 2.7517 - dense_1_loss_21: 2.6824 - dense_1_loss_22: 2.6007 - dense_1_loss_23: 2.5172 - dense_1_loss_24: 2.4946 - dense_1_loss_25: 2.7054 - dense_1_loss_26: 2.4406 - dense_1_loss_27: 2.5101 - dense_1_loss_28: 2.6359 - dense_1_loss_29: 2.7162 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.0333 - dense_1_acc_2: 0.3833 - dense_1_acc_3: 0.3833 - dense_1_acc_4: 0.3833 - dense_1_acc_5: 0.4500 - dense_1_acc_6: 0.3833 - dense_1_acc_7: 0.5667 - dense_1_acc_8: 0.5333 - dense_1_acc_9: 0.4167 - dense_1_acc_10: 0.5167 - dense_1_acc_11: 0.3667 - dense_1_acc_12: 0.4500 - dense_1_acc_13: 0.5667 - dense_1_acc_14: 0.4333 - dense_1_acc_15: 0.3667 - dense_1_acc_16: 0.4667 - dense_1_acc_17: 0.4333 - dense_1_acc_18: 0.4000 - dense_1_acc_19: 0.5000 - dense_1_acc_20: 0.4333 - dense_1_acc_21: 0.4333 - dense_1_acc_22: 0.4000 - dense_1_acc_23: 0.4167 - dense_1_acc_24: 0.4500 - dense_1_acc_25: 0.3833 - dense_1_acc_26: 0.5500 - dense_1_acc_27: 0.4500 - dense_1_acc_28: 0.4333 - dense_1_acc_29: 0.4500 - dense_1_acc_30: 0.0167         \n",
      "Epoch 19/100\n",
      "60/60 [==============================] - 0s - loss: 72.1912 - dense_1_loss_1: 3.8998 - dense_1_loss_2: 2.4964 - dense_1_loss_3: 2.4097 - dense_1_loss_4: 2.5733 - dense_1_loss_5: 2.4434 - dense_1_loss_6: 2.5077 - dense_1_loss_7: 2.4468 - dense_1_loss_8: 2.2701 - dense_1_loss_9: 2.4124 - dense_1_loss_10: 2.2361 - dense_1_loss_11: 2.4504 - dense_1_loss_12: 2.6274 - dense_1_loss_13: 2.2551 - dense_1_loss_14: 2.3625 - dense_1_loss_15: 2.5232 - dense_1_loss_16: 2.4103 - dense_1_loss_17: 2.4660 - dense_1_loss_18: 2.3584 - dense_1_loss_19: 2.3383 - dense_1_loss_20: 2.6212 - dense_1_loss_21: 2.5400 - dense_1_loss_22: 2.4628 - dense_1_loss_23: 2.3822 - dense_1_loss_24: 2.3587 - dense_1_loss_25: 2.5687 - dense_1_loss_26: 2.3065 - dense_1_loss_27: 2.3812 - dense_1_loss_28: 2.5052 - dense_1_loss_29: 2.5773 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.4500 - dense_1_acc_3: 0.4500 - dense_1_acc_4: 0.4167 - dense_1_acc_5: 0.4167 - dense_1_acc_6: 0.4333 - dense_1_acc_7: 0.5500 - dense_1_acc_8: 0.5500 - dense_1_acc_9: 0.4667 - dense_1_acc_10: 0.5167 - dense_1_acc_11: 0.3833 - dense_1_acc_12: 0.4500 - dense_1_acc_13: 0.6500 - dense_1_acc_14: 0.5000 - dense_1_acc_15: 0.4167 - dense_1_acc_16: 0.4500 - dense_1_acc_17: 0.4667 - dense_1_acc_18: 0.4667 - dense_1_acc_19: 0.5500 - dense_1_acc_20: 0.4333 - dense_1_acc_21: 0.4500 - dense_1_acc_22: 0.4667 - dense_1_acc_23: 0.4500 - dense_1_acc_24: 0.4833 - dense_1_acc_25: 0.4000 - dense_1_acc_26: 0.6167 - dense_1_acc_27: 0.5000 - dense_1_acc_28: 0.4167 - dense_1_acc_29: 0.5167 - dense_1_acc_30: 0.0167         \n",
      "Epoch 20/100\n",
      "60/60 [==============================] - 0s - loss: 68.3359 - dense_1_loss_1: 3.8990 - dense_1_loss_2: 2.3534 - dense_1_loss_3: 2.2802 - dense_1_loss_4: 2.4372 - dense_1_loss_5: 2.3225 - dense_1_loss_6: 2.3637 - dense_1_loss_7: 2.2988 - dense_1_loss_8: 2.1382 - dense_1_loss_9: 2.2776 - dense_1_loss_10: 2.1080 - dense_1_loss_11: 2.3271 - dense_1_loss_12: 2.4855 - dense_1_loss_13: 2.0954 - dense_1_loss_14: 2.2238 - dense_1_loss_15: 2.3998 - dense_1_loss_16: 2.2753 - dense_1_loss_17: 2.3246 - dense_1_loss_18: 2.1969 - dense_1_loss_19: 2.2099 - dense_1_loss_20: 2.4901 - dense_1_loss_21: 2.3916 - dense_1_loss_22: 2.3194 - dense_1_loss_23: 2.2420 - dense_1_loss_24: 2.2205 - dense_1_loss_25: 2.4263 - dense_1_loss_26: 2.1691 - dense_1_loss_27: 2.2479 - dense_1_loss_28: 2.3834 - dense_1_loss_29: 2.4286 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.4667 - dense_1_acc_3: 0.4667 - dense_1_acc_4: 0.4333 - dense_1_acc_5: 0.4833 - dense_1_acc_6: 0.5000 - dense_1_acc_7: 0.5500 - dense_1_acc_8: 0.5667 - dense_1_acc_9: 0.4833 - dense_1_acc_10: 0.5500 - dense_1_acc_11: 0.3833 - dense_1_acc_12: 0.4500 - dense_1_acc_13: 0.6667 - dense_1_acc_14: 0.4833 - dense_1_acc_15: 0.4500 - dense_1_acc_16: 0.4500 - dense_1_acc_17: 0.5000 - dense_1_acc_18: 0.5000 - dense_1_acc_19: 0.5500 - dense_1_acc_20: 0.4667 - dense_1_acc_21: 0.5000 - dense_1_acc_22: 0.5167 - dense_1_acc_23: 0.5000 - dense_1_acc_24: 0.4833 - dense_1_acc_25: 0.4167 - dense_1_acc_26: 0.6167 - dense_1_acc_27: 0.5000 - dense_1_acc_28: 0.4333 - dense_1_acc_29: 0.5500 - dense_1_acc_30: 0.0167     \n",
      "Epoch 21/100\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "60/60 [==============================] - 0s - loss: 64.5337 - dense_1_loss_1: 3.9002 - dense_1_loss_2: 2.2108 - dense_1_loss_3: 2.1460 - dense_1_loss_4: 2.3062 - dense_1_loss_5: 2.2039 - dense_1_loss_6: 2.2138 - dense_1_loss_7: 2.1532 - dense_1_loss_8: 2.0127 - dense_1_loss_9: 2.1443 - dense_1_loss_10: 1.9753 - dense_1_loss_11: 2.2088 - dense_1_loss_12: 2.3406 - dense_1_loss_13: 1.9452 - dense_1_loss_14: 2.0935 - dense_1_loss_15: 2.2781 - dense_1_loss_16: 2.1369 - dense_1_loss_17: 2.1791 - dense_1_loss_18: 2.0403 - dense_1_loss_19: 2.0759 - dense_1_loss_20: 2.3599 - dense_1_loss_21: 2.2482 - dense_1_loss_22: 2.1726 - dense_1_loss_23: 2.1044 - dense_1_loss_24: 2.0906 - dense_1_loss_25: 2.2937 - dense_1_loss_26: 2.0374 - dense_1_loss_27: 2.1263 - dense_1_loss_28: 2.2518 - dense_1_loss_29: 2.2836 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.4500 - dense_1_acc_3: 0.4667 - dense_1_acc_4: 0.4333 - dense_1_acc_5: 0.5000 - dense_1_acc_6: 0.5000 - dense_1_acc_7: 0.5333 - dense_1_acc_8: 0.5500 - dense_1_acc_9: 0.4833 - dense_1_acc_10: 0.5667 - dense_1_acc_11: 0.3500 - dense_1_acc_12: 0.4333 - dense_1_acc_13: 0.6667 - dense_1_acc_14: 0.5167 - dense_1_acc_15: 0.4667 - dense_1_acc_16: 0.4500 - dense_1_acc_17: 0.5167 - dense_1_acc_18: 0.5333 - dense_1_acc_19: 0.5333 - dense_1_acc_20: 0.4667 - dense_1_acc_21: 0.5500 - dense_1_acc_22: 0.5333 - dense_1_acc_23: 0.4833 - dense_1_acc_24: 0.4667 - dense_1_acc_25: 0.4167 - dense_1_acc_26: 0.6000 - dense_1_acc_27: 0.5000 - dense_1_acc_28: 0.4500 - dense_1_acc_29: 0.5500 - dense_1_acc_30: 0.0167     \n",
      "Epoch 22/100\n",
      "60/60 [==============================] - 0s - loss: 60.8905 - dense_1_loss_1: 3.8998 - dense_1_loss_2: 2.0739 - dense_1_loss_3: 2.0278 - dense_1_loss_4: 2.1785 - dense_1_loss_5: 2.0833 - dense_1_loss_6: 2.0644 - dense_1_loss_7: 2.0109 - dense_1_loss_8: 1.8948 - dense_1_loss_9: 2.0180 - dense_1_loss_10: 1.8586 - dense_1_loss_11: 2.0968 - dense_1_loss_12: 2.1943 - dense_1_loss_13: 1.7931 - dense_1_loss_14: 1.9687 - dense_1_loss_15: 2.1692 - dense_1_loss_16: 2.0109 - dense_1_loss_17: 2.0382 - dense_1_loss_18: 1.8870 - dense_1_loss_19: 1.9512 - dense_1_loss_20: 2.2302 - dense_1_loss_21: 2.1028 - dense_1_loss_22: 2.0409 - dense_1_loss_23: 1.9749 - dense_1_loss_24: 1.9600 - dense_1_loss_25: 2.1505 - dense_1_loss_26: 1.9169 - dense_1_loss_27: 2.0128 - dense_1_loss_28: 2.1298 - dense_1_loss_29: 2.1521 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.4667 - dense_1_acc_3: 0.4667 - dense_1_acc_4: 0.4333 - dense_1_acc_5: 0.5000 - dense_1_acc_6: 0.5000 - dense_1_acc_7: 0.5333 - dense_1_acc_8: 0.5500 - dense_1_acc_9: 0.4833 - dense_1_acc_10: 0.5833 - dense_1_acc_11: 0.3500 - dense_1_acc_12: 0.4333 - dense_1_acc_13: 0.6500 - dense_1_acc_14: 0.5167 - dense_1_acc_15: 0.4667 - dense_1_acc_16: 0.4500 - dense_1_acc_17: 0.5167 - dense_1_acc_18: 0.5500 - dense_1_acc_19: 0.5333 - dense_1_acc_20: 0.4667 - dense_1_acc_21: 0.5500 - dense_1_acc_22: 0.5333 - dense_1_acc_23: 0.4833 - dense_1_acc_24: 0.4500 - dense_1_acc_25: 0.4167 - dense_1_acc_26: 0.6167 - dense_1_acc_27: 0.4833 - dense_1_acc_28: 0.4333 - dense_1_acc_29: 0.5500 - dense_1_acc_30: 0.0167         \n",
      "Epoch 23/100\n",
      "60/60 [==============================] - 0s - loss: 57.4903 - dense_1_loss_1: 3.9034 - dense_1_loss_2: 1.9482 - dense_1_loss_3: 1.9119 - dense_1_loss_4: 2.0624 - dense_1_loss_5: 1.9772 - dense_1_loss_6: 1.9282 - dense_1_loss_7: 1.8655 - dense_1_loss_8: 1.7858 - dense_1_loss_9: 1.9007 - dense_1_loss_10: 1.7434 - dense_1_loss_11: 1.9984 - dense_1_loss_12: 2.0640 - dense_1_loss_13: 1.6593 - dense_1_loss_14: 1.8523 - dense_1_loss_15: 2.0651 - dense_1_loss_16: 1.8929 - dense_1_loss_17: 1.9053 - dense_1_loss_18: 1.7415 - dense_1_loss_19: 1.8245 - dense_1_loss_20: 2.1099 - dense_1_loss_21: 1.9696 - dense_1_loss_22: 1.9065 - dense_1_loss_23: 1.8494 - dense_1_loss_24: 1.8412 - dense_1_loss_25: 2.0308 - dense_1_loss_26: 1.8008 - dense_1_loss_27: 1.9120 - dense_1_loss_28: 2.0179 - dense_1_loss_29: 2.0221 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5000 - dense_1_acc_3: 0.5000 - dense_1_acc_4: 0.4333 - dense_1_acc_5: 0.5167 - dense_1_acc_6: 0.5167 - dense_1_acc_7: 0.5333 - dense_1_acc_8: 0.5500 - dense_1_acc_9: 0.5167 - dense_1_acc_10: 0.5667 - dense_1_acc_11: 0.3333 - dense_1_acc_12: 0.4333 - dense_1_acc_13: 0.6500 - dense_1_acc_14: 0.4833 - dense_1_acc_15: 0.4667 - dense_1_acc_16: 0.5000 - dense_1_acc_17: 0.5333 - dense_1_acc_18: 0.5833 - dense_1_acc_19: 0.5000 - dense_1_acc_20: 0.4167 - dense_1_acc_21: 0.5167 - dense_1_acc_22: 0.5333 - dense_1_acc_23: 0.4833 - dense_1_acc_24: 0.4333 - dense_1_acc_25: 0.4833 - dense_1_acc_26: 0.5833 - dense_1_acc_27: 0.4833 - dense_1_acc_28: 0.4333 - dense_1_acc_29: 0.5333 - dense_1_acc_30: 0.0167     \n",
      "Epoch 24/100\n",
      "60/60 [==============================] - ETA: 0s - loss: 55.7595 - dense_1_loss_1: 3.9041 - dense_1_loss_2: 1.8937 - dense_1_loss_3: 1.8490 - dense_1_loss_4: 2.1746 - dense_1_loss_5: 2.0209 - dense_1_loss_6: 1.6916 - dense_1_loss_7: 1.9191 - dense_1_loss_8: 1.6944 - dense_1_loss_9: 1.9539 - dense_1_loss_10: 1.5716 - dense_1_loss_11: 1.9615 - dense_1_loss_12: 2.0618 - dense_1_loss_13: 1.5383 - dense_1_loss_14: 1.7290 - dense_1_loss_15: 2.1740 - dense_1_loss_16: 1.7683 - dense_1_loss_17: 2.0114 - dense_1_loss_18: 1.6113 - dense_1_loss_19: 1.8569 - dense_1_loss_20: 2.0659 - dense_1_loss_21: 1.9778 - dense_1_loss_22: 1.6770 - dense_1_loss_23: 1.8016 - dense_1_loss_24: 1.5793 - dense_1_loss_25: 2.0708 - dense_1_loss_26: 1.6373 - dense_1_loss_27: 1.7483 - dense_1_loss_28: 1.7479 - dense_1_loss_29: 2.0680 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.0938 - dense_1_acc_2: 0.5312 - dense_1_acc_3: 0.5312 - dense_1_acc_4: 0.3750 - dense_1_acc_5: 0.5000 - dense_1_acc_6: 0.5625 - dense_1_acc_7: 0.4688 - dense_1_acc_8: 0.5625 - dense_1_acc_9: 0.4688 - dense_1_acc_10: 0.6562 - dense_1_acc_11: 0.3125 - dense_1_acc_12: 0.3750 - dense_1_acc_13: 0.6875 - dense_1_acc_14: 0.5312 - dense_1_acc_15: 0.3438 - dense_1_acc_16: 0.5312 - dense_1_acc_17: 0.4375 - dense_1_acc_18: 0.5625 - dense_1_acc_19: 0.4062 - dense_1_acc_20: 0.3438 - dense_1_acc_21: 0.5000 - dense_1_acc_22: 0.6250 - dense_1_acc_23: 0.4375 - dense_1_acc_24: 0.4688 - dense_1_acc_25: 0.4375 - dense_1_acc_26: 0.5938 - dense_1_acc_27: 0.5625 - dense_1_acc_28: 0.4688 - dense_1_acc_29: 0.4062 - dense_1_acc_30: 0.0000e+ - 0s - loss: 54.4028 - dense_1_loss_1: 3.9060 - dense_1_loss_2: 1.8256 - dense_1_loss_3: 1.8243 - dense_1_loss_4: 1.9621 - dense_1_loss_5: 1.8768 - dense_1_loss_6: 1.8074 - dense_1_loss_7: 1.7434 - dense_1_loss_8: 1.6857 - dense_1_loss_9: 1.8009 - dense_1_loss_10: 1.6526 - dense_1_loss_11: 1.9031 - dense_1_loss_12: 1.9389 - dense_1_loss_13: 1.5315 - dense_1_loss_14: 1.7377 - dense_1_loss_15: 1.9583 - dense_1_loss_16: 1.7754 - dense_1_loss_17: 1.7854 - dense_1_loss_18: 1.6169 - dense_1_loss_19: 1.7170 - dense_1_loss_20: 2.0028 - dense_1_loss_21: 1.8490 - dense_1_loss_22: 1.7909 - dense_1_loss_23: 1.7404 - dense_1_loss_24: 1.7346 - dense_1_loss_25: 1.9084 - dense_1_loss_26: 1.6970 - dense_1_loss_27: 1.8163 - dense_1_loss_28: 1.9070 - dense_1_loss_29: 1.9074 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5167 - dense_1_acc_3: 0.4667 - dense_1_acc_4: 0.4333 - dense_1_acc_5: 0.5333 - dense_1_acc_6: 0.5333 - dense_1_acc_7: 0.5167 - dense_1_acc_8: 0.5667 - dense_1_acc_9: 0.5000 - dense_1_acc_10: 0.5667 - dense_1_acc_11: 0.3500 - dense_1_acc_12: 0.4500 - dense_1_acc_13: 0.6500 - dense_1_acc_14: 0.4833 - dense_1_acc_15: 0.4667 - dense_1_acc_16: 0.5000 - dense_1_acc_17: 0.5500 - dense_1_acc_18: 0.5833 - dense_1_acc_19: 0.5000 - dense_1_acc_20: 0.4167 - dense_1_acc_21: 0.5000 - dense_1_acc_22: 0.5333 - dense_1_acc_23: 0.4833 - dense_1_acc_24: 0.4333 - dense_1_acc_25: 0.5000 - dense_1_acc_26: 0.5833 - dense_1_acc_27: 0.4833 - dense_1_acc_28: 0.4333 - dense_1_acc_29: 0.5167 - dense_1_acc_30: 0.0167         \n",
      "Epoch 25/100\n",
      "60/60 [==============================] - 0s - loss: 51.7044 - dense_1_loss_1: 3.9085 - dense_1_loss_2: 1.7249 - dense_1_loss_3: 1.7380 - dense_1_loss_4: 1.8676 - dense_1_loss_5: 1.7750 - dense_1_loss_6: 1.6962 - dense_1_loss_7: 1.6373 - dense_1_loss_8: 1.6022 - dense_1_loss_9: 1.7054 - dense_1_loss_10: 1.5565 - dense_1_loss_11: 1.8220 - dense_1_loss_12: 1.8349 - dense_1_loss_13: 1.4188 - dense_1_loss_14: 1.6485 - dense_1_loss_15: 1.8693 - dense_1_loss_16: 1.6888 - dense_1_loss_17: 1.6825 - dense_1_loss_18: 1.5055 - dense_1_loss_19: 1.6251 - dense_1_loss_20: 1.9038 - dense_1_loss_21: 1.7345 - dense_1_loss_22: 1.6863 - dense_1_loss_23: 1.6421 - dense_1_loss_24: 1.6424 - dense_1_loss_25: 1.8008 - dense_1_loss_26: 1.6128 - dense_1_loss_27: 1.7416 - dense_1_loss_28: 1.8203 - dense_1_loss_29: 1.8127 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5167 - dense_1_acc_3: 0.4667 - dense_1_acc_4: 0.4333 - dense_1_acc_5: 0.5333 - dense_1_acc_6: 0.5333 - dense_1_acc_7: 0.5167 - dense_1_acc_8: 0.5667 - dense_1_acc_9: 0.5000 - dense_1_acc_10: 0.5667 - dense_1_acc_11: 0.3500 - dense_1_acc_12: 0.4500 - dense_1_acc_13: 0.6500 - dense_1_acc_14: 0.4833 - dense_1_acc_15: 0.4667 - dense_1_acc_16: 0.5000 - dense_1_acc_17: 0.5500 - dense_1_acc_18: 0.5833 - dense_1_acc_19: 0.5000 - dense_1_acc_20: 0.4167 - dense_1_acc_21: 0.5000 - dense_1_acc_22: 0.5333 - dense_1_acc_23: 0.4833 - dense_1_acc_24: 0.4333 - dense_1_acc_25: 0.5000 - dense_1_acc_26: 0.5833 - dense_1_acc_27: 0.4833 - dense_1_acc_28: 0.4333 - dense_1_acc_29: 0.5167 - dense_1_acc_30: 0.0167         \n",
      "Epoch 26/100\n",
      "60/60 [==============================] - 0s - loss: 49.3449 - dense_1_loss_1: 3.9093 - dense_1_loss_2: 1.6243 - dense_1_loss_3: 1.6585 - dense_1_loss_4: 1.7878 - dense_1_loss_5: 1.6955 - dense_1_loss_6: 1.6102 - dense_1_loss_7: 1.5325 - dense_1_loss_8: 1.5230 - dense_1_loss_9: 1.6346 - dense_1_loss_10: 1.4858 - dense_1_loss_11: 1.7508 - dense_1_loss_12: 1.7414 - dense_1_loss_13: 1.3264 - dense_1_loss_14: 1.5696 - dense_1_loss_15: 1.7895 - dense_1_loss_16: 1.6037 - dense_1_loss_17: 1.5844 - dense_1_loss_18: 1.4069 - dense_1_loss_19: 1.5340 - dense_1_loss_20: 1.8247 - dense_1_loss_21: 1.6391 - dense_1_loss_22: 1.5905 - dense_1_loss_23: 1.5575 - dense_1_loss_24: 1.5670 - dense_1_loss_25: 1.7159 - dense_1_loss_26: 1.5421 - dense_1_loss_27: 1.6775 - dense_1_loss_28: 1.7338 - dense_1_loss_29: 1.7289 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5167 - dense_1_acc_3: 0.4667 - dense_1_acc_4: 0.4333 - dense_1_acc_5: 0.5333 - dense_1_acc_6: 0.5333 - dense_1_acc_7: 0.5167 - dense_1_acc_8: 0.5667 - dense_1_acc_9: 0.5000 - dense_1_acc_10: 0.5667 - dense_1_acc_11: 0.3500 - dense_1_acc_12: 0.4500 - dense_1_acc_13: 0.6500 - dense_1_acc_14: 0.4833 - dense_1_acc_15: 0.4667 - dense_1_acc_16: 0.5000 - dense_1_acc_17: 0.5500 - dense_1_acc_18: 0.5833 - dense_1_acc_19: 0.5000 - dense_1_acc_20: 0.4167 - dense_1_acc_21: 0.5000 - dense_1_acc_22: 0.5333 - dense_1_acc_23: 0.4833 - dense_1_acc_24: 0.4333 - dense_1_acc_25: 0.5000 - dense_1_acc_26: 0.5833 - dense_1_acc_27: 0.4833 - dense_1_acc_28: 0.4333 - dense_1_acc_29: 0.5167 - dense_1_acc_30: 0.0167         \n",
      "Epoch 27/100\n",
      "60/60 [==============================] - 0s - loss: 47.3111 - dense_1_loss_1: 3.9136 - dense_1_loss_2: 1.5491 - dense_1_loss_3: 1.5991 - dense_1_loss_4: 1.7185 - dense_1_loss_5: 1.6151 - dense_1_loss_6: 1.5336 - dense_1_loss_7: 1.4502 - dense_1_loss_8: 1.4552 - dense_1_loss_9: 1.5663 - dense_1_loss_10: 1.4120 - dense_1_loss_11: 1.6902 - dense_1_loss_12: 1.6595 - dense_1_loss_13: 1.2464 - dense_1_loss_14: 1.4954 - dense_1_loss_15: 1.7135 - dense_1_loss_16: 1.5412 - dense_1_loss_17: 1.5070 - dense_1_loss_18: 1.3246 - dense_1_loss_19: 1.4624 - dense_1_loss_20: 1.7555 - dense_1_loss_21: 1.5565 - dense_1_loss_22: 1.5082 - dense_1_loss_23: 1.4877 - dense_1_loss_24: 1.4948 - dense_1_loss_25: 1.6365 - dense_1_loss_26: 1.4752 - dense_1_loss_27: 1.6250 - dense_1_loss_28: 1.6575 - dense_1_loss_29: 1.6610 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5333 - dense_1_acc_3: 0.4667 - dense_1_acc_4: 0.4167 - dense_1_acc_5: 0.5333 - dense_1_acc_6: 0.5333 - dense_1_acc_7: 0.5333 - dense_1_acc_8: 0.5333 - dense_1_acc_9: 0.4833 - dense_1_acc_10: 0.5667 - dense_1_acc_11: 0.3500 - dense_1_acc_12: 0.4500 - dense_1_acc_13: 0.6667 - dense_1_acc_14: 0.4833 - dense_1_acc_15: 0.4667 - dense_1_acc_16: 0.4833 - dense_1_acc_17: 0.5333 - dense_1_acc_18: 0.6000 - dense_1_acc_19: 0.4833 - dense_1_acc_20: 0.4167 - dense_1_acc_21: 0.5000 - dense_1_acc_22: 0.5333 - dense_1_acc_23: 0.4833 - dense_1_acc_24: 0.4500 - dense_1_acc_25: 0.5167 - dense_1_acc_26: 0.6000 - dense_1_acc_27: 0.4833 - dense_1_acc_28: 0.4667 - dense_1_acc_29: 0.5500 - dense_1_acc_30: 0.0167         \n",
      "Epoch 28/100\n",
      "60/60 [==============================] - 0s - loss: 45.6464 - dense_1_loss_1: 3.9133 - dense_1_loss_2: 1.4831 - dense_1_loss_3: 1.5415 - dense_1_loss_4: 1.6618 - dense_1_loss_5: 1.5488 - dense_1_loss_6: 1.4768 - dense_1_loss_7: 1.3740 - dense_1_loss_8: 1.4031 - dense_1_loss_9: 1.5186 - dense_1_loss_10: 1.3548 - dense_1_loss_11: 1.6358 - dense_1_loss_12: 1.5899 - dense_1_loss_13: 1.1824 - dense_1_loss_14: 1.4412 - dense_1_loss_15: 1.6521 - dense_1_loss_16: 1.4853 - dense_1_loss_17: 1.4420 - dense_1_loss_18: 1.2610 - dense_1_loss_19: 1.4056 - dense_1_loss_20: 1.6930 - dense_1_loss_21: 1.4808 - dense_1_loss_22: 1.4409 - dense_1_loss_23: 1.4281 - dense_1_loss_24: 1.4455 - dense_1_loss_25: 1.5776 - dense_1_loss_26: 1.4241 - dense_1_loss_27: 1.5861 - dense_1_loss_28: 1.5948 - dense_1_loss_29: 1.6046 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5333 - dense_1_acc_3: 0.4667 - dense_1_acc_4: 0.4167 - dense_1_acc_5: 0.5333 - dense_1_acc_6: 0.5333 - dense_1_acc_7: 0.5333 - dense_1_acc_8: 0.5333 - dense_1_acc_9: 0.4833 - dense_1_acc_10: 0.5667 - dense_1_acc_11: 0.3500 - dense_1_acc_12: 0.4500 - dense_1_acc_13: 0.6667 - dense_1_acc_14: 0.4833 - dense_1_acc_15: 0.4667 - dense_1_acc_16: 0.4833 - dense_1_acc_17: 0.5333 - dense_1_acc_18: 0.6000 - dense_1_acc_19: 0.4833 - dense_1_acc_20: 0.4167 - dense_1_acc_21: 0.5000 - dense_1_acc_22: 0.5333 - dense_1_acc_23: 0.4833 - dense_1_acc_24: 0.4500 - dense_1_acc_25: 0.5167 - dense_1_acc_26: 0.6000 - dense_1_acc_27: 0.4833 - dense_1_acc_28: 0.4667 - dense_1_acc_29: 0.5500 - dense_1_acc_30: 0.0167     \n",
      "Epoch 29/100\n",
      "60/60 [==============================] - 0s - loss: 44.1897 - dense_1_loss_1: 3.9128 - dense_1_loss_2: 1.4295 - dense_1_loss_3: 1.4972 - dense_1_loss_4: 1.6160 - dense_1_loss_5: 1.4878 - dense_1_loss_6: 1.4293 - dense_1_loss_7: 1.3106 - dense_1_loss_8: 1.3438 - dense_1_loss_9: 1.4772 - dense_1_loss_10: 1.3038 - dense_1_loss_11: 1.5850 - dense_1_loss_12: 1.5320 - dense_1_loss_13: 1.1268 - dense_1_loss_14: 1.3922 - dense_1_loss_15: 1.5917 - dense_1_loss_16: 1.4435 - dense_1_loss_17: 1.3864 - dense_1_loss_18: 1.2114 - dense_1_loss_19: 1.3479 - dense_1_loss_20: 1.6342 - dense_1_loss_21: 1.4177 - dense_1_loss_22: 1.3803 - dense_1_loss_23: 1.3795 - dense_1_loss_24: 1.3961 - dense_1_loss_25: 1.5261 - dense_1_loss_26: 1.3842 - dense_1_loss_27: 1.5526 - dense_1_loss_28: 1.5394 - dense_1_loss_29: 1.5548 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5333 - dense_1_acc_3: 0.4500 - dense_1_acc_4: 0.4167 - dense_1_acc_5: 0.5500 - dense_1_acc_6: 0.5333 - dense_1_acc_7: 0.5500 - dense_1_acc_8: 0.5667 - dense_1_acc_9: 0.4833 - dense_1_acc_10: 0.5667 - dense_1_acc_11: 0.3667 - dense_1_acc_12: 0.4500 - dense_1_acc_13: 0.6500 - dense_1_acc_14: 0.4833 - dense_1_acc_15: 0.4667 - dense_1_acc_16: 0.4833 - dense_1_acc_17: 0.5000 - dense_1_acc_18: 0.5833 - dense_1_acc_19: 0.5000 - dense_1_acc_20: 0.4000 - dense_1_acc_21: 0.5167 - dense_1_acc_22: 0.5667 - dense_1_acc_23: 0.5167 - dense_1_acc_24: 0.4167 - dense_1_acc_25: 0.5000 - dense_1_acc_26: 0.5833 - dense_1_acc_27: 0.4833 - dense_1_acc_28: 0.5000 - dense_1_acc_29: 0.5500 - dense_1_acc_30: 0.0167         \n",
      "Epoch 30/100\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "60/60 [==============================] - 0s - loss: 42.9356 - dense_1_loss_1: 3.9104 - dense_1_loss_2: 1.3833 - dense_1_loss_3: 1.4550 - dense_1_loss_4: 1.5689 - dense_1_loss_5: 1.4302 - dense_1_loss_6: 1.3857 - dense_1_loss_7: 1.2492 - dense_1_loss_8: 1.2994 - dense_1_loss_9: 1.4401 - dense_1_loss_10: 1.2618 - dense_1_loss_11: 1.5399 - dense_1_loss_12: 1.4762 - dense_1_loss_13: 1.0786 - dense_1_loss_14: 1.3528 - dense_1_loss_15: 1.5438 - dense_1_loss_16: 1.4064 - dense_1_loss_17: 1.3386 - dense_1_loss_18: 1.1707 - dense_1_loss_19: 1.3025 - dense_1_loss_20: 1.5795 - dense_1_loss_21: 1.3623 - dense_1_loss_22: 1.3315 - dense_1_loss_23: 1.3393 - dense_1_loss_24: 1.3595 - dense_1_loss_25: 1.4851 - dense_1_loss_26: 1.3503 - dense_1_loss_27: 1.5261 - dense_1_loss_28: 1.4904 - dense_1_loss_29: 1.5182 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5333 - dense_1_acc_3: 0.4500 - dense_1_acc_4: 0.4167 - dense_1_acc_5: 0.5000 - dense_1_acc_6: 0.5500 - dense_1_acc_7: 0.5500 - dense_1_acc_8: 0.5667 - dense_1_acc_9: 0.4833 - dense_1_acc_10: 0.5667 - dense_1_acc_11: 0.3833 - dense_1_acc_12: 0.4333 - dense_1_acc_13: 0.6667 - dense_1_acc_14: 0.4667 - dense_1_acc_15: 0.4500 - dense_1_acc_16: 0.5000 - dense_1_acc_17: 0.5000 - dense_1_acc_18: 0.5833 - dense_1_acc_19: 0.5167 - dense_1_acc_20: 0.4167 - dense_1_acc_21: 0.5167 - dense_1_acc_22: 0.5833 - dense_1_acc_23: 0.5167 - dense_1_acc_24: 0.4167 - dense_1_acc_25: 0.5167 - dense_1_acc_26: 0.5833 - dense_1_acc_27: 0.4833 - dense_1_acc_28: 0.5000 - dense_1_acc_29: 0.5333 - dense_1_acc_30: 0.0167         \n",
      "Epoch 31/100\n",
      "60/60 [==============================] - 0s - loss: 41.8832 - dense_1_loss_1: 3.9075 - dense_1_loss_2: 1.3477 - dense_1_loss_3: 1.4190 - dense_1_loss_4: 1.5300 - dense_1_loss_5: 1.3822 - dense_1_loss_6: 1.3525 - dense_1_loss_7: 1.2033 - dense_1_loss_8: 1.2600 - dense_1_loss_9: 1.4126 - dense_1_loss_10: 1.2275 - dense_1_loss_11: 1.5008 - dense_1_loss_12: 1.4310 - dense_1_loss_13: 1.0449 - dense_1_loss_14: 1.3174 - dense_1_loss_15: 1.4982 - dense_1_loss_16: 1.3780 - dense_1_loss_17: 1.2960 - dense_1_loss_18: 1.1436 - dense_1_loss_19: 1.2613 - dense_1_loss_20: 1.5327 - dense_1_loss_21: 1.3163 - dense_1_loss_22: 1.2893 - dense_1_loss_23: 1.3010 - dense_1_loss_24: 1.3266 - dense_1_loss_25: 1.4503 - dense_1_loss_26: 1.3198 - dense_1_loss_27: 1.5004 - dense_1_loss_28: 1.4490 - dense_1_loss_29: 1.4840 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.0833 - dense_1_acc_2: 0.5333 - dense_1_acc_3: 0.4667 - dense_1_acc_4: 0.4000 - dense_1_acc_5: 0.5000 - dense_1_acc_6: 0.5500 - dense_1_acc_7: 0.5333 - dense_1_acc_8: 0.5667 - dense_1_acc_9: 0.4833 - dense_1_acc_10: 0.5500 - dense_1_acc_11: 0.3833 - dense_1_acc_12: 0.4500 - dense_1_acc_13: 0.6667 - dense_1_acc_14: 0.4667 - dense_1_acc_15: 0.4500 - dense_1_acc_16: 0.5000 - dense_1_acc_17: 0.4833 - dense_1_acc_18: 0.6000 - dense_1_acc_19: 0.5333 - dense_1_acc_20: 0.4167 - dense_1_acc_21: 0.5167 - dense_1_acc_22: 0.5833 - dense_1_acc_23: 0.5167 - dense_1_acc_24: 0.4167 - dense_1_acc_25: 0.5167 - dense_1_acc_26: 0.5833 - dense_1_acc_27: 0.4833 - dense_1_acc_28: 0.5000 - dense_1_acc_29: 0.5500 - dense_1_acc_30: 0.0167     \n",
      "Epoch 32/100\n",
      "60/60 [==============================] - 0s - loss: 41.0023 - dense_1_loss_1: 3.9050 - dense_1_loss_2: 1.3242 - dense_1_loss_3: 1.3879 - dense_1_loss_4: 1.5033 - dense_1_loss_5: 1.3444 - dense_1_loss_6: 1.3315 - dense_1_loss_7: 1.1634 - dense_1_loss_8: 1.2228 - dense_1_loss_9: 1.3863 - dense_1_loss_10: 1.1934 - dense_1_loss_11: 1.4655 - dense_1_loss_12: 1.3960 - dense_1_loss_13: 1.0174 - dense_1_loss_14: 1.2886 - dense_1_loss_15: 1.4611 - dense_1_loss_16: 1.3508 - dense_1_loss_17: 1.2627 - dense_1_loss_18: 1.1219 - dense_1_loss_19: 1.2270 - dense_1_loss_20: 1.4896 - dense_1_loss_21: 1.2753 - dense_1_loss_22: 1.2552 - dense_1_loss_23: 1.2709 - dense_1_loss_24: 1.2957 - dense_1_loss_25: 1.4240 - dense_1_loss_26: 1.2930 - dense_1_loss_27: 1.4791 - dense_1_loss_28: 1.4081 - dense_1_loss_29: 1.4582 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.0667 - dense_1_acc_2: 0.5333 - dense_1_acc_3: 0.4667 - dense_1_acc_4: 0.4000 - dense_1_acc_5: 0.5000 - dense_1_acc_6: 0.5500 - dense_1_acc_7: 0.5333 - dense_1_acc_8: 0.5667 - dense_1_acc_9: 0.4833 - dense_1_acc_10: 0.5500 - dense_1_acc_11: 0.3833 - dense_1_acc_12: 0.4500 - dense_1_acc_13: 0.6667 - dense_1_acc_14: 0.4667 - dense_1_acc_15: 0.4500 - dense_1_acc_16: 0.5000 - dense_1_acc_17: 0.4833 - dense_1_acc_18: 0.6000 - dense_1_acc_19: 0.5500 - dense_1_acc_20: 0.4167 - dense_1_acc_21: 0.5167 - dense_1_acc_22: 0.6000 - dense_1_acc_23: 0.5333 - dense_1_acc_24: 0.4167 - dense_1_acc_25: 0.5167 - dense_1_acc_26: 0.5667 - dense_1_acc_27: 0.4500 - dense_1_acc_28: 0.5167 - dense_1_acc_29: 0.5500 - dense_1_acc_30: 0.0167     \n",
      "Epoch 33/100\n",
      "60/60 [==============================] - 0s - loss: 40.2396 - dense_1_loss_1: 3.9017 - dense_1_loss_2: 1.3037 - dense_1_loss_3: 1.3584 - dense_1_loss_4: 1.4728 - dense_1_loss_5: 1.3089 - dense_1_loss_6: 1.3087 - dense_1_loss_7: 1.1265 - dense_1_loss_8: 1.1896 - dense_1_loss_9: 1.3683 - dense_1_loss_10: 1.1657 - dense_1_loss_11: 1.4361 - dense_1_loss_12: 1.3625 - dense_1_loss_13: 0.9927 - dense_1_loss_14: 1.2612 - dense_1_loss_15: 1.4293 - dense_1_loss_16: 1.3287 - dense_1_loss_17: 1.2348 - dense_1_loss_18: 1.1047 - dense_1_loss_19: 1.1964 - dense_1_loss_20: 1.4523 - dense_1_loss_21: 1.2427 - dense_1_loss_22: 1.2310 - dense_1_loss_23: 1.2480 - dense_1_loss_24: 1.2683 - dense_1_loss_25: 1.3997 - dense_1_loss_26: 1.2703 - dense_1_loss_27: 1.4615 - dense_1_loss_28: 1.3796 - dense_1_loss_29: 1.4354 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.0667 - dense_1_acc_2: 0.5500 - dense_1_acc_3: 0.5000 - dense_1_acc_4: 0.3833 - dense_1_acc_5: 0.4833 - dense_1_acc_6: 0.5333 - dense_1_acc_7: 0.5333 - dense_1_acc_8: 0.5667 - dense_1_acc_9: 0.4667 - dense_1_acc_10: 0.5500 - dense_1_acc_11: 0.4000 - dense_1_acc_12: 0.4333 - dense_1_acc_13: 0.6833 - dense_1_acc_14: 0.4667 - dense_1_acc_15: 0.4333 - dense_1_acc_16: 0.5000 - dense_1_acc_17: 0.4833 - dense_1_acc_18: 0.6167 - dense_1_acc_19: 0.5333 - dense_1_acc_20: 0.4333 - dense_1_acc_21: 0.5167 - dense_1_acc_22: 0.6000 - dense_1_acc_23: 0.5333 - dense_1_acc_24: 0.4167 - dense_1_acc_25: 0.5333 - dense_1_acc_26: 0.5667 - dense_1_acc_27: 0.4500 - dense_1_acc_28: 0.5167 - dense_1_acc_29: 0.5333 - dense_1_acc_30: 0.0167     \n",
      "Epoch 34/100\n",
      "60/60 [==============================] - 0s - loss: 39.5632 - dense_1_loss_1: 3.8971 - dense_1_loss_2: 1.2856 - dense_1_loss_3: 1.3334 - dense_1_loss_4: 1.4471 - dense_1_loss_5: 1.2809 - dense_1_loss_6: 1.2950 - dense_1_loss_7: 1.0991 - dense_1_loss_8: 1.1562 - dense_1_loss_9: 1.3502 - dense_1_loss_10: 1.1414 - dense_1_loss_11: 1.4067 - dense_1_loss_12: 1.3326 - dense_1_loss_13: 0.9768 - dense_1_loss_14: 1.2408 - dense_1_loss_15: 1.3969 - dense_1_loss_16: 1.3079 - dense_1_loss_17: 1.2074 - dense_1_loss_18: 1.0923 - dense_1_loss_19: 1.1710 - dense_1_loss_20: 1.4184 - dense_1_loss_21: 1.2114 - dense_1_loss_22: 1.2049 - dense_1_loss_23: 1.2272 - dense_1_loss_24: 1.2437 - dense_1_loss_25: 1.3825 - dense_1_loss_26: 1.2502 - dense_1_loss_27: 1.4454 - dense_1_loss_28: 1.3473 - dense_1_loss_29: 1.4139 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.0667 - dense_1_acc_2: 0.5167 - dense_1_acc_3: 0.5000 - dense_1_acc_4: 0.4167 - dense_1_acc_5: 0.4833 - dense_1_acc_6: 0.5333 - dense_1_acc_7: 0.5833 - dense_1_acc_8: 0.6167 - dense_1_acc_9: 0.4333 - dense_1_acc_10: 0.6000 - dense_1_acc_11: 0.4500 - dense_1_acc_12: 0.4167 - dense_1_acc_13: 0.6500 - dense_1_acc_14: 0.5000 - dense_1_acc_15: 0.4333 - dense_1_acc_16: 0.4833 - dense_1_acc_17: 0.4833 - dense_1_acc_18: 0.6167 - dense_1_acc_19: 0.5167 - dense_1_acc_20: 0.3833 - dense_1_acc_21: 0.5333 - dense_1_acc_22: 0.6167 - dense_1_acc_23: 0.5167 - dense_1_acc_24: 0.4167 - dense_1_acc_25: 0.4833 - dense_1_acc_26: 0.5667 - dense_1_acc_27: 0.4167 - dense_1_acc_28: 0.5167 - dense_1_acc_29: 0.5333 - dense_1_acc_30: 0.0167     \n",
      "Epoch 35/100\n",
      "60/60 [==============================] - 0s - loss: 39.0422 - dense_1_loss_1: 3.8923 - dense_1_loss_2: 1.2696 - dense_1_loss_3: 1.3083 - dense_1_loss_4: 1.4209 - dense_1_loss_5: 1.2564 - dense_1_loss_6: 1.2810 - dense_1_loss_7: 1.0790 - dense_1_loss_8: 1.1352 - dense_1_loss_9: 1.3377 - dense_1_loss_10: 1.1246 - dense_1_loss_11: 1.3811 - dense_1_loss_12: 1.3071 - dense_1_loss_13: 0.9608 - dense_1_loss_14: 1.2260 - dense_1_loss_15: 1.3726 - dense_1_loss_16: 1.2905 - dense_1_loss_17: 1.1901 - dense_1_loss_18: 1.0860 - dense_1_loss_19: 1.1521 - dense_1_loss_20: 1.3929 - dense_1_loss_21: 1.1902 - dense_1_loss_22: 1.1895 - dense_1_loss_23: 1.2082 - dense_1_loss_24: 1.2290 - dense_1_loss_25: 1.3685 - dense_1_loss_26: 1.2334 - dense_1_loss_27: 1.4300 - dense_1_loss_28: 1.3287 - dense_1_loss_29: 1.4002 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.0667 - dense_1_acc_2: 0.5167 - dense_1_acc_3: 0.5000 - dense_1_acc_4: 0.4167 - dense_1_acc_5: 0.4833 - dense_1_acc_6: 0.5333 - dense_1_acc_7: 0.5833 - dense_1_acc_8: 0.6167 - dense_1_acc_9: 0.4333 - dense_1_acc_10: 0.6000 - dense_1_acc_11: 0.4500 - dense_1_acc_12: 0.4167 - dense_1_acc_13: 0.6500 - dense_1_acc_14: 0.5000 - dense_1_acc_15: 0.4333 - dense_1_acc_16: 0.4833 - dense_1_acc_17: 0.4833 - dense_1_acc_18: 0.6167 - dense_1_acc_19: 0.5167 - dense_1_acc_20: 0.3833 - dense_1_acc_21: 0.5333 - dense_1_acc_22: 0.6167 - dense_1_acc_23: 0.5167 - dense_1_acc_24: 0.4167 - dense_1_acc_25: 0.4833 - dense_1_acc_26: 0.5667 - dense_1_acc_27: 0.4167 - dense_1_acc_28: 0.5167 - dense_1_acc_29: 0.5333 - dense_1_acc_30: 0.0167     \n",
      "Epoch 36/100\n",
      "60/60 [==============================] - 0s - loss: 38.5574 - dense_1_loss_1: 3.8883 - dense_1_loss_2: 1.2623 - dense_1_loss_3: 1.2895 - dense_1_loss_4: 1.3982 - dense_1_loss_5: 1.2387 - dense_1_loss_6: 1.2729 - dense_1_loss_7: 1.0631 - dense_1_loss_8: 1.1127 - dense_1_loss_9: 1.3229 - dense_1_loss_10: 1.1073 - dense_1_loss_11: 1.3625 - dense_1_loss_12: 1.2811 - dense_1_loss_13: 0.9488 - dense_1_loss_14: 1.2066 - dense_1_loss_15: 1.3501 - dense_1_loss_16: 1.2733 - dense_1_loss_17: 1.1740 - dense_1_loss_18: 1.0810 - dense_1_loss_19: 1.1360 - dense_1_loss_20: 1.3664 - dense_1_loss_21: 1.1687 - dense_1_loss_22: 1.1715 - dense_1_loss_23: 1.1914 - dense_1_loss_24: 1.2093 - dense_1_loss_25: 1.3575 - dense_1_loss_26: 1.2175 - dense_1_loss_27: 1.4151 - dense_1_loss_28: 1.3070 - dense_1_loss_29: 1.3839 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.0667 - dense_1_acc_2: 0.5167 - dense_1_acc_3: 0.5000 - dense_1_acc_4: 0.4167 - dense_1_acc_5: 0.4833 - dense_1_acc_6: 0.5333 - dense_1_acc_7: 0.5833 - dense_1_acc_8: 0.6167 - dense_1_acc_9: 0.4333 - dense_1_acc_10: 0.6000 - dense_1_acc_11: 0.4500 - dense_1_acc_12: 0.4167 - dense_1_acc_13: 0.6500 - dense_1_acc_14: 0.5000 - dense_1_acc_15: 0.4333 - dense_1_acc_16: 0.4833 - dense_1_acc_17: 0.4833 - dense_1_acc_18: 0.6167 - dense_1_acc_19: 0.5167 - dense_1_acc_20: 0.3833 - dense_1_acc_21: 0.5333 - dense_1_acc_22: 0.6167 - dense_1_acc_23: 0.5167 - dense_1_acc_24: 0.4167 - dense_1_acc_25: 0.4833 - dense_1_acc_26: 0.5667 - dense_1_acc_27: 0.4167 - dense_1_acc_28: 0.5167 - dense_1_acc_29: 0.5333 - dense_1_acc_30: 0.0167         \n",
      "Epoch 37/100\n",
      "60/60 [==============================] - 0s - loss: 38.1801 - dense_1_loss_1: 3.8842 - dense_1_loss_2: 1.2547 - dense_1_loss_3: 1.2710 - dense_1_loss_4: 1.3791 - dense_1_loss_5: 1.2281 - dense_1_loss_6: 1.2653 - dense_1_loss_7: 1.0533 - dense_1_loss_8: 1.0990 - dense_1_loss_9: 1.3140 - dense_1_loss_10: 1.0968 - dense_1_loss_11: 1.3485 - dense_1_loss_12: 1.2636 - dense_1_loss_13: 0.9368 - dense_1_loss_14: 1.1932 - dense_1_loss_15: 1.3296 - dense_1_loss_16: 1.2544 - dense_1_loss_17: 1.1617 - dense_1_loss_18: 1.0769 - dense_1_loss_19: 1.1251 - dense_1_loss_20: 1.3457 - dense_1_loss_21: 1.1489 - dense_1_loss_22: 1.1593 - dense_1_loss_23: 1.1803 - dense_1_loss_24: 1.1966 - dense_1_loss_25: 1.3460 - dense_1_loss_26: 1.2028 - dense_1_loss_27: 1.4023 - dense_1_loss_28: 1.2942 - dense_1_loss_29: 1.3685 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.0667 - dense_1_acc_2: 0.5167 - dense_1_acc_3: 0.5167 - dense_1_acc_4: 0.4167 - dense_1_acc_5: 0.4833 - dense_1_acc_6: 0.5333 - dense_1_acc_7: 0.5667 - dense_1_acc_8: 0.6000 - dense_1_acc_9: 0.4333 - dense_1_acc_10: 0.6000 - dense_1_acc_11: 0.4333 - dense_1_acc_12: 0.4333 - dense_1_acc_13: 0.6667 - dense_1_acc_14: 0.5000 - dense_1_acc_15: 0.4333 - dense_1_acc_16: 0.4833 - dense_1_acc_17: 0.5333 - dense_1_acc_18: 0.6333 - dense_1_acc_19: 0.5000 - dense_1_acc_20: 0.3833 - dense_1_acc_21: 0.5333 - dense_1_acc_22: 0.5833 - dense_1_acc_23: 0.4833 - dense_1_acc_24: 0.4167 - dense_1_acc_25: 0.5000 - dense_1_acc_26: 0.5833 - dense_1_acc_27: 0.4167 - dense_1_acc_28: 0.5000 - dense_1_acc_29: 0.5167 - dense_1_acc_30: 0.0167     \n",
      "Epoch 38/100\n",
      "60/60 [==============================] - 0s - loss: 37.8454 - dense_1_loss_1: 3.8801 - dense_1_loss_2: 1.2467 - dense_1_loss_3: 1.2568 - dense_1_loss_4: 1.3614 - dense_1_loss_5: 1.2174 - dense_1_loss_6: 1.2576 - dense_1_loss_7: 1.0467 - dense_1_loss_8: 1.0865 - dense_1_loss_9: 1.3050 - dense_1_loss_10: 1.0861 - dense_1_loss_11: 1.3355 - dense_1_loss_12: 1.2448 - dense_1_loss_13: 0.9292 - dense_1_loss_14: 1.1828 - dense_1_loss_15: 1.3131 - dense_1_loss_16: 1.2397 - dense_1_loss_17: 1.1519 - dense_1_loss_18: 1.0711 - dense_1_loss_19: 1.1189 - dense_1_loss_20: 1.3276 - dense_1_loss_21: 1.1356 - dense_1_loss_22: 1.1476 - dense_1_loss_23: 1.1672 - dense_1_loss_24: 1.1859 - dense_1_loss_25: 1.3328 - dense_1_loss_26: 1.1919 - dense_1_loss_27: 1.3920 - dense_1_loss_28: 1.2794 - dense_1_loss_29: 1.3544 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.0667 - dense_1_acc_2: 0.5667 - dense_1_acc_3: 0.4833 - dense_1_acc_4: 0.4167 - dense_1_acc_5: 0.4833 - dense_1_acc_6: 0.5167 - dense_1_acc_7: 0.5500 - dense_1_acc_8: 0.6167 - dense_1_acc_9: 0.4500 - dense_1_acc_10: 0.6000 - dense_1_acc_11: 0.4167 - dense_1_acc_12: 0.4333 - dense_1_acc_13: 0.7000 - dense_1_acc_14: 0.4833 - dense_1_acc_15: 0.4333 - dense_1_acc_16: 0.4833 - dense_1_acc_17: 0.5667 - dense_1_acc_18: 0.5833 - dense_1_acc_19: 0.4667 - dense_1_acc_20: 0.4000 - dense_1_acc_21: 0.5167 - dense_1_acc_22: 0.5167 - dense_1_acc_23: 0.5167 - dense_1_acc_24: 0.4333 - dense_1_acc_25: 0.5000 - dense_1_acc_26: 0.6000 - dense_1_acc_27: 0.4333 - dense_1_acc_28: 0.4833 - dense_1_acc_29: 0.5167 - dense_1_acc_30: 0.0167     \n",
      "Epoch 39/100\n",
      "60/60 [==============================] - 0s - loss: 37.5684 - dense_1_loss_1: 3.8765 - dense_1_loss_2: 1.2405 - dense_1_loss_3: 1.2423 - dense_1_loss_4: 1.3486 - dense_1_loss_5: 1.2083 - dense_1_loss_6: 1.2531 - dense_1_loss_7: 1.0438 - dense_1_loss_8: 1.0794 - dense_1_loss_9: 1.2980 - dense_1_loss_10: 1.0787 - dense_1_loss_11: 1.3264 - dense_1_loss_12: 1.2316 - dense_1_loss_13: 0.9214 - dense_1_loss_14: 1.1720 - dense_1_loss_15: 1.2970 - dense_1_loss_16: 1.2242 - dense_1_loss_17: 1.1453 - dense_1_loss_18: 1.0673 - dense_1_loss_19: 1.1131 - dense_1_loss_20: 1.3144 - dense_1_loss_21: 1.1222 - dense_1_loss_22: 1.1368 - dense_1_loss_23: 1.1576 - dense_1_loss_24: 1.1750 - dense_1_loss_25: 1.3224 - dense_1_loss_26: 1.1803 - dense_1_loss_27: 1.3814 - dense_1_loss_28: 1.2682 - dense_1_loss_29: 1.3427 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.0667 - dense_1_acc_2: 0.5500 - dense_1_acc_3: 0.5333 - dense_1_acc_4: 0.4333 - dense_1_acc_5: 0.4667 - dense_1_acc_6: 0.5333 - dense_1_acc_7: 0.5333 - dense_1_acc_8: 0.5667 - dense_1_acc_9: 0.4833 - dense_1_acc_10: 0.6000 - dense_1_acc_11: 0.4167 - dense_1_acc_12: 0.4333 - dense_1_acc_13: 0.6833 - dense_1_acc_14: 0.4833 - dense_1_acc_15: 0.4333 - dense_1_acc_16: 0.5000 - dense_1_acc_17: 0.5667 - dense_1_acc_18: 0.6000 - dense_1_acc_19: 0.4667 - dense_1_acc_20: 0.3833 - dense_1_acc_21: 0.5167 - dense_1_acc_22: 0.5000 - dense_1_acc_23: 0.5333 - dense_1_acc_24: 0.4500 - dense_1_acc_25: 0.5000 - dense_1_acc_26: 0.5833 - dense_1_acc_27: 0.4500 - dense_1_acc_28: 0.4833 - dense_1_acc_29: 0.5000 - dense_1_acc_30: 0.0167     \n",
      "Epoch 40/100\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "60/60 [==============================] - 0s - loss: 37.3396 - dense_1_loss_1: 3.8719 - dense_1_loss_2: 1.2363 - dense_1_loss_3: 1.2324 - dense_1_loss_4: 1.3358 - dense_1_loss_5: 1.2029 - dense_1_loss_6: 1.2501 - dense_1_loss_7: 1.0437 - dense_1_loss_8: 1.0708 - dense_1_loss_9: 1.2941 - dense_1_loss_10: 1.0720 - dense_1_loss_11: 1.3211 - dense_1_loss_12: 1.2192 - dense_1_loss_13: 0.9127 - dense_1_loss_14: 1.1622 - dense_1_loss_15: 1.2842 - dense_1_loss_16: 1.2114 - dense_1_loss_17: 1.1419 - dense_1_loss_18: 1.0642 - dense_1_loss_19: 1.1082 - dense_1_loss_20: 1.3011 - dense_1_loss_21: 1.1113 - dense_1_loss_22: 1.1261 - dense_1_loss_23: 1.1469 - dense_1_loss_24: 1.1670 - dense_1_loss_25: 1.3148 - dense_1_loss_26: 1.1730 - dense_1_loss_27: 1.3742 - dense_1_loss_28: 1.2605 - dense_1_loss_29: 1.3294 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.0667 - dense_1_acc_2: 0.5333 - dense_1_acc_3: 0.5333 - dense_1_acc_4: 0.4500 - dense_1_acc_5: 0.4667 - dense_1_acc_6: 0.5333 - dense_1_acc_7: 0.5333 - dense_1_acc_8: 0.5833 - dense_1_acc_9: 0.4833 - dense_1_acc_10: 0.5667 - dense_1_acc_11: 0.3833 - dense_1_acc_12: 0.4500 - dense_1_acc_13: 0.6833 - dense_1_acc_14: 0.4833 - dense_1_acc_15: 0.4333 - dense_1_acc_16: 0.4833 - dense_1_acc_17: 0.5667 - dense_1_acc_18: 0.5833 - dense_1_acc_19: 0.4667 - dense_1_acc_20: 0.3833 - dense_1_acc_21: 0.4833 - dense_1_acc_22: 0.5000 - dense_1_acc_23: 0.5833 - dense_1_acc_24: 0.4500 - dense_1_acc_25: 0.4667 - dense_1_acc_26: 0.5667 - dense_1_acc_27: 0.4833 - dense_1_acc_28: 0.4667 - dense_1_acc_29: 0.5167 - dense_1_acc_30: 0.0167     \n",
      "Epoch 41/100\n",
      "60/60 [==============================] - 0s - loss: 37.1265 - dense_1_loss_1: 3.8680 - dense_1_loss_2: 1.2340 - dense_1_loss_3: 1.2269 - dense_1_loss_4: 1.3289 - dense_1_loss_5: 1.1985 - dense_1_loss_6: 1.2478 - dense_1_loss_7: 1.0442 - dense_1_loss_8: 1.0684 - dense_1_loss_9: 1.2903 - dense_1_loss_10: 1.0671 - dense_1_loss_11: 1.3135 - dense_1_loss_12: 1.2107 - dense_1_loss_13: 0.9054 - dense_1_loss_14: 1.1540 - dense_1_loss_15: 1.2727 - dense_1_loss_16: 1.1956 - dense_1_loss_17: 1.1375 - dense_1_loss_18: 1.0599 - dense_1_loss_19: 1.1035 - dense_1_loss_20: 1.2927 - dense_1_loss_21: 1.0971 - dense_1_loss_22: 1.1141 - dense_1_loss_23: 1.1408 - dense_1_loss_24: 1.1564 - dense_1_loss_25: 1.3038 - dense_1_loss_26: 1.1574 - dense_1_loss_27: 1.3679 - dense_1_loss_28: 1.2515 - dense_1_loss_29: 1.3179 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.0667 - dense_1_acc_2: 0.5500 - dense_1_acc_3: 0.4833 - dense_1_acc_4: 0.4167 - dense_1_acc_5: 0.4833 - dense_1_acc_6: 0.5333 - dense_1_acc_7: 0.5333 - dense_1_acc_8: 0.5500 - dense_1_acc_9: 0.4833 - dense_1_acc_10: 0.5667 - dense_1_acc_11: 0.3667 - dense_1_acc_12: 0.4500 - dense_1_acc_13: 0.7167 - dense_1_acc_14: 0.4667 - dense_1_acc_15: 0.4333 - dense_1_acc_16: 0.4833 - dense_1_acc_17: 0.5500 - dense_1_acc_18: 0.6000 - dense_1_acc_19: 0.4667 - dense_1_acc_20: 0.4000 - dense_1_acc_21: 0.5333 - dense_1_acc_22: 0.5167 - dense_1_acc_23: 0.5667 - dense_1_acc_24: 0.4667 - dense_1_acc_25: 0.5000 - dense_1_acc_26: 0.5833 - dense_1_acc_27: 0.5000 - dense_1_acc_28: 0.4833 - dense_1_acc_29: 0.5333 - dense_1_acc_30: 0.0167     \n",
      "Epoch 42/100\n",
      "60/60 [==============================] - 0s - loss: 36.9508 - dense_1_loss_1: 3.8637 - dense_1_loss_2: 1.2315 - dense_1_loss_3: 1.2186 - dense_1_loss_4: 1.3208 - dense_1_loss_5: 1.1958 - dense_1_loss_6: 1.2449 - dense_1_loss_7: 1.0432 - dense_1_loss_8: 1.0681 - dense_1_loss_9: 1.2883 - dense_1_loss_10: 1.0623 - dense_1_loss_11: 1.3116 - dense_1_loss_12: 1.2059 - dense_1_loss_13: 0.8996 - dense_1_loss_14: 1.1490 - dense_1_loss_15: 1.2636 - dense_1_loss_16: 1.1837 - dense_1_loss_17: 1.1343 - dense_1_loss_18: 1.0531 - dense_1_loss_19: 1.0997 - dense_1_loss_20: 1.2839 - dense_1_loss_21: 1.0866 - dense_1_loss_22: 1.1038 - dense_1_loss_23: 1.1342 - dense_1_loss_24: 1.1485 - dense_1_loss_25: 1.2951 - dense_1_loss_26: 1.1473 - dense_1_loss_27: 1.3649 - dense_1_loss_28: 1.2427 - dense_1_loss_29: 1.3062 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.0667 - dense_1_acc_2: 0.5167 - dense_1_acc_3: 0.5000 - dense_1_acc_4: 0.4167 - dense_1_acc_5: 0.4833 - dense_1_acc_6: 0.5333 - dense_1_acc_7: 0.5333 - dense_1_acc_8: 0.5167 - dense_1_acc_9: 0.4833 - dense_1_acc_10: 0.5667 - dense_1_acc_11: 0.3500 - dense_1_acc_12: 0.4500 - dense_1_acc_13: 0.7000 - dense_1_acc_14: 0.4667 - dense_1_acc_15: 0.4333 - dense_1_acc_16: 0.4833 - dense_1_acc_17: 0.5667 - dense_1_acc_18: 0.6000 - dense_1_acc_19: 0.4667 - dense_1_acc_20: 0.4333 - dense_1_acc_21: 0.5333 - dense_1_acc_22: 0.5167 - dense_1_acc_23: 0.5667 - dense_1_acc_24: 0.4667 - dense_1_acc_25: 0.4833 - dense_1_acc_26: 0.6167 - dense_1_acc_27: 0.5000 - dense_1_acc_28: 0.4833 - dense_1_acc_29: 0.5500 - dense_1_acc_30: 0.0167             \n",
      "Epoch 43/100\n",
      "60/60 [==============================] - 0s - loss: 36.7964 - dense_1_loss_1: 3.8592 - dense_1_loss_2: 1.2296 - dense_1_loss_3: 1.2099 - dense_1_loss_4: 1.3168 - dense_1_loss_5: 1.1903 - dense_1_loss_6: 1.2409 - dense_1_loss_7: 1.0397 - dense_1_loss_8: 1.0666 - dense_1_loss_9: 1.2830 - dense_1_loss_10: 1.0568 - dense_1_loss_11: 1.3086 - dense_1_loss_12: 1.1995 - dense_1_loss_13: 0.8944 - dense_1_loss_14: 1.1440 - dense_1_loss_15: 1.2517 - dense_1_loss_16: 1.1751 - dense_1_loss_17: 1.1338 - dense_1_loss_18: 1.0497 - dense_1_loss_19: 1.0953 - dense_1_loss_20: 1.2789 - dense_1_loss_21: 1.0779 - dense_1_loss_22: 1.0964 - dense_1_loss_23: 1.1296 - dense_1_loss_24: 1.1412 - dense_1_loss_25: 1.2895 - dense_1_loss_26: 1.1386 - dense_1_loss_27: 1.3633 - dense_1_loss_28: 1.2394 - dense_1_loss_29: 1.2967 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.0667 - dense_1_acc_2: 0.5333 - dense_1_acc_3: 0.4833 - dense_1_acc_4: 0.4333 - dense_1_acc_5: 0.5000 - dense_1_acc_6: 0.5333 - dense_1_acc_7: 0.5500 - dense_1_acc_8: 0.5500 - dense_1_acc_9: 0.5000 - dense_1_acc_10: 0.5667 - dense_1_acc_11: 0.3667 - dense_1_acc_12: 0.4667 - dense_1_acc_13: 0.7000 - dense_1_acc_14: 0.4667 - dense_1_acc_15: 0.4500 - dense_1_acc_16: 0.4833 - dense_1_acc_17: 0.5167 - dense_1_acc_18: 0.5833 - dense_1_acc_19: 0.4833 - dense_1_acc_20: 0.4000 - dense_1_acc_21: 0.5000 - dense_1_acc_22: 0.5500 - dense_1_acc_23: 0.5833 - dense_1_acc_24: 0.4667 - dense_1_acc_25: 0.4833 - dense_1_acc_26: 0.5667 - dense_1_acc_27: 0.4833 - dense_1_acc_28: 0.4667 - dense_1_acc_29: 0.5333 - dense_1_acc_30: 0.0167         \n",
      "Epoch 44/100\n",
      "60/60 [==============================] - ETA: 0s - loss: 38.1063 - dense_1_loss_1: 4.0403 - dense_1_loss_2: 1.1062 - dense_1_loss_3: 1.4821 - dense_1_loss_4: 1.2294 - dense_1_loss_5: 1.2454 - dense_1_loss_6: 1.1631 - dense_1_loss_7: 1.2784 - dense_1_loss_8: 1.1445 - dense_1_loss_9: 1.3505 - dense_1_loss_10: 0.9253 - dense_1_loss_11: 1.5569 - dense_1_loss_12: 1.1081 - dense_1_loss_13: 0.9406 - dense_1_loss_14: 1.0092 - dense_1_loss_15: 1.4753 - dense_1_loss_16: 1.2338 - dense_1_loss_17: 1.2747 - dense_1_loss_18: 0.8952 - dense_1_loss_19: 1.3394 - dense_1_loss_20: 1.1536 - dense_1_loss_21: 1.1085 - dense_1_loss_22: 1.1536 - dense_1_loss_23: 1.1259 - dense_1_loss_24: 1.0693 - dense_1_loss_25: 1.5077 - dense_1_loss_26: 1.1034 - dense_1_loss_27: 1.5343 - dense_1_loss_28: 1.1574 - dense_1_loss_29: 1.3944 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.0625 - dense_1_acc_2: 0.6875 - dense_1_acc_3: 0.3750 - dense_1_acc_4: 0.5000 - dense_1_acc_5: 0.5000 - dense_1_acc_6: 0.5938 - dense_1_acc_7: 0.5312 - dense_1_acc_8: 0.5312 - dense_1_acc_9: 0.4688 - dense_1_acc_10: 0.6250 - dense_1_acc_11: 0.2500 - dense_1_acc_12: 0.4688 - dense_1_acc_13: 0.6562 - dense_1_acc_14: 0.5312 - dense_1_acc_15: 0.4062 - dense_1_acc_16: 0.4062 - dense_1_acc_17: 0.4375 - dense_1_acc_18: 0.7188 - dense_1_acc_19: 0.3750 - dense_1_acc_20: 0.3750 - dense_1_acc_21: 0.4375 - dense_1_acc_22: 0.4688 - dense_1_acc_23: 0.5938 - dense_1_acc_24: 0.5000 - dense_1_acc_25: 0.3438 - dense_1_acc_26: 0.5625 - dense_1_acc_27: 0.4062 - dense_1_acc_28: 0.5938 - dense_1_acc_29: 0.5625 - dense_1_acc_30: 0.0000e+ - 0s - loss: 36.6574 - dense_1_loss_1: 3.8544 - dense_1_loss_2: 1.2283 - dense_1_loss_3: 1.2040 - dense_1_loss_4: 1.3123 - dense_1_loss_5: 1.1864 - dense_1_loss_6: 1.2381 - dense_1_loss_7: 1.0358 - dense_1_loss_8: 1.0632 - dense_1_loss_9: 1.2807 - dense_1_loss_10: 1.0530 - dense_1_loss_11: 1.3067 - dense_1_loss_12: 1.1959 - dense_1_loss_13: 0.8888 - dense_1_loss_14: 1.1405 - dense_1_loss_15: 1.2439 - dense_1_loss_16: 1.1662 - dense_1_loss_17: 1.1327 - dense_1_loss_18: 1.0445 - dense_1_loss_19: 1.0914 - dense_1_loss_20: 1.2737 - dense_1_loss_21: 1.0700 - dense_1_loss_22: 1.0887 - dense_1_loss_23: 1.1251 - dense_1_loss_24: 1.1346 - dense_1_loss_25: 1.2836 - dense_1_loss_26: 1.1310 - dense_1_loss_27: 1.3624 - dense_1_loss_28: 1.2330 - dense_1_loss_29: 1.2886 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.0667 - dense_1_acc_2: 0.5333 - dense_1_acc_3: 0.4667 - dense_1_acc_4: 0.4333 - dense_1_acc_5: 0.4833 - dense_1_acc_6: 0.5333 - dense_1_acc_7: 0.5500 - dense_1_acc_8: 0.5667 - dense_1_acc_9: 0.5000 - dense_1_acc_10: 0.5667 - dense_1_acc_11: 0.3833 - dense_1_acc_12: 0.4500 - dense_1_acc_13: 0.6833 - dense_1_acc_14: 0.4667 - dense_1_acc_15: 0.4500 - dense_1_acc_16: 0.4833 - dense_1_acc_17: 0.5000 - dense_1_acc_18: 0.5833 - dense_1_acc_19: 0.5000 - dense_1_acc_20: 0.4000 - dense_1_acc_21: 0.5000 - dense_1_acc_22: 0.5500 - dense_1_acc_23: 0.6167 - dense_1_acc_24: 0.4667 - dense_1_acc_25: 0.4667 - dense_1_acc_26: 0.5667 - dense_1_acc_27: 0.4833 - dense_1_acc_28: 0.5000 - dense_1_acc_29: 0.5500 - dense_1_acc_30: 0.0167         \n",
      "Epoch 45/100\n",
      "60/60 [==============================] - 0s - loss: 36.5344 - dense_1_loss_1: 3.8504 - dense_1_loss_2: 1.2259 - dense_1_loss_3: 1.1966 - dense_1_loss_4: 1.3085 - dense_1_loss_5: 1.1830 - dense_1_loss_6: 1.2350 - dense_1_loss_7: 1.0323 - dense_1_loss_8: 1.0597 - dense_1_loss_9: 1.2768 - dense_1_loss_10: 1.0506 - dense_1_loss_11: 1.3039 - dense_1_loss_12: 1.1932 - dense_1_loss_13: 0.8843 - dense_1_loss_14: 1.1366 - dense_1_loss_15: 1.2385 - dense_1_loss_16: 1.1599 - dense_1_loss_17: 1.1320 - dense_1_loss_18: 1.0416 - dense_1_loss_19: 1.0877 - dense_1_loss_20: 1.2706 - dense_1_loss_21: 1.0621 - dense_1_loss_22: 1.0842 - dense_1_loss_23: 1.1205 - dense_1_loss_24: 1.1286 - dense_1_loss_25: 1.2787 - dense_1_loss_26: 1.1217 - dense_1_loss_27: 1.3619 - dense_1_loss_28: 1.2297 - dense_1_loss_29: 1.2798 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.0667 - dense_1_acc_2: 0.5333 - dense_1_acc_3: 0.4667 - dense_1_acc_4: 0.4333 - dense_1_acc_5: 0.4833 - dense_1_acc_6: 0.5333 - dense_1_acc_7: 0.5500 - dense_1_acc_8: 0.5667 - dense_1_acc_9: 0.5000 - dense_1_acc_10: 0.5667 - dense_1_acc_11: 0.3833 - dense_1_acc_12: 0.4500 - dense_1_acc_13: 0.6833 - dense_1_acc_14: 0.4667 - dense_1_acc_15: 0.4500 - dense_1_acc_16: 0.4833 - dense_1_acc_17: 0.5000 - dense_1_acc_18: 0.5833 - dense_1_acc_19: 0.5000 - dense_1_acc_20: 0.4000 - dense_1_acc_21: 0.5000 - dense_1_acc_22: 0.5500 - dense_1_acc_23: 0.6167 - dense_1_acc_24: 0.4667 - dense_1_acc_25: 0.4667 - dense_1_acc_26: 0.5667 - dense_1_acc_27: 0.4833 - dense_1_acc_28: 0.5000 - dense_1_acc_29: 0.5500 - dense_1_acc_30: 0.0167         \n",
      "Epoch 46/100\n",
      "60/60 [==============================] - ETA: 0s - loss: 37.5443 - dense_1_loss_1: 3.8244 - dense_1_loss_2: 1.3573 - dense_1_loss_3: 1.1781 - dense_1_loss_4: 1.4346 - dense_1_loss_5: 1.1874 - dense_1_loss_6: 1.3235 - dense_1_loss_7: 1.1072 - dense_1_loss_8: 0.9331 - dense_1_loss_9: 1.5683 - dense_1_loss_10: 0.9237 - dense_1_loss_11: 1.2476 - dense_1_loss_12: 1.4226 - dense_1_loss_13: 0.8431 - dense_1_loss_14: 1.1355 - dense_1_loss_15: 1.2679 - dense_1_loss_16: 1.1857 - dense_1_loss_17: 1.0415 - dense_1_loss_18: 1.1081 - dense_1_loss_19: 1.0974 - dense_1_loss_20: 1.3208 - dense_1_loss_21: 1.0940 - dense_1_loss_22: 1.1053 - dense_1_loss_23: 1.2790 - dense_1_loss_24: 1.0878 - dense_1_loss_25: 1.2551 - dense_1_loss_26: 1.1799 - dense_1_loss_27: 1.3338 - dense_1_loss_28: 1.3679 - dense_1_loss_29: 1.3337 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.0625 - dense_1_acc_2: 0.4688 - dense_1_acc_3: 0.5625 - dense_1_acc_4: 0.4375 - dense_1_acc_5: 0.4688 - dense_1_acc_6: 0.5938 - dense_1_acc_7: 0.5312 - dense_1_acc_8: 0.5625 - dense_1_acc_9: 0.3750 - dense_1_acc_10: 0.5938 - dense_1_acc_11: 0.4375 - dense_1_acc_12: 0.3438 - dense_1_acc_13: 0.7500 - dense_1_acc_14: 0.5000 - dense_1_acc_15: 0.4375 - dense_1_acc_16: 0.4062 - dense_1_acc_17: 0.5625 - dense_1_acc_18: 0.5312 - dense_1_acc_19: 0.5000 - dense_1_acc_20: 0.4375 - dense_1_acc_21: 0.4375 - dense_1_acc_22: 0.5000 - dense_1_acc_23: 0.5938 - dense_1_acc_24: 0.4688 - dense_1_acc_25: 0.5000 - dense_1_acc_26: 0.5625 - dense_1_acc_27: 0.5625 - dense_1_acc_28: 0.4062 - dense_1_acc_29: 0.5312 - dense_1_acc_30: 0.03 - 0s - loss: 36.4227 - dense_1_loss_1: 3.8447 - dense_1_loss_2: 1.2241 - dense_1_loss_3: 1.1919 - dense_1_loss_4: 1.3084 - dense_1_loss_5: 1.1766 - dense_1_loss_6: 1.2310 - dense_1_loss_7: 1.0269 - dense_1_loss_8: 1.0556 - dense_1_loss_9: 1.2755 - dense_1_loss_10: 1.0468 - dense_1_loss_11: 1.3018 - dense_1_loss_12: 1.1936 - dense_1_loss_13: 0.8796 - dense_1_loss_14: 1.1342 - dense_1_loss_15: 1.2324 - dense_1_loss_16: 1.1532 - dense_1_loss_17: 1.1302 - dense_1_loss_18: 1.0391 - dense_1_loss_19: 1.0834 - dense_1_loss_20: 1.2681 - dense_1_loss_21: 1.0550 - dense_1_loss_22: 1.0807 - dense_1_loss_23: 1.1172 - dense_1_loss_24: 1.1237 - dense_1_loss_25: 1.2738 - dense_1_loss_26: 1.1149 - dense_1_loss_27: 1.3608 - dense_1_loss_28: 1.2256 - dense_1_loss_29: 1.2736 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5333 - dense_1_acc_3: 0.4667 - dense_1_acc_4: 0.4333 - dense_1_acc_5: 0.4833 - dense_1_acc_6: 0.5333 - dense_1_acc_7: 0.5500 - dense_1_acc_8: 0.5667 - dense_1_acc_9: 0.5000 - dense_1_acc_10: 0.5667 - dense_1_acc_11: 0.3833 - dense_1_acc_12: 0.4500 - dense_1_acc_13: 0.6833 - dense_1_acc_14: 0.4667 - dense_1_acc_15: 0.4500 - dense_1_acc_16: 0.4833 - dense_1_acc_17: 0.5000 - dense_1_acc_18: 0.5833 - dense_1_acc_19: 0.5000 - dense_1_acc_20: 0.4000 - dense_1_acc_21: 0.5000 - dense_1_acc_22: 0.5500 - dense_1_acc_23: 0.6167 - dense_1_acc_24: 0.4667 - dense_1_acc_25: 0.4667 - dense_1_acc_26: 0.5667 - dense_1_acc_27: 0.4833 - dense_1_acc_28: 0.5000 - dense_1_acc_29: 0.5500 - dense_1_acc_30: 0.0167     \n",
      "Epoch 47/100\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "60/60 [==============================] - 0s - loss: 36.3274 - dense_1_loss_1: 3.8395 - dense_1_loss_2: 1.2202 - dense_1_loss_3: 1.1857 - dense_1_loss_4: 1.3069 - dense_1_loss_5: 1.1721 - dense_1_loss_6: 1.2282 - dense_1_loss_7: 1.0205 - dense_1_loss_8: 1.0525 - dense_1_loss_9: 1.2718 - dense_1_loss_10: 1.0443 - dense_1_loss_11: 1.2991 - dense_1_loss_12: 1.1936 - dense_1_loss_13: 0.8754 - dense_1_loss_14: 1.1312 - dense_1_loss_15: 1.2295 - dense_1_loss_16: 1.1514 - dense_1_loss_17: 1.1291 - dense_1_loss_18: 1.0377 - dense_1_loss_19: 1.0794 - dense_1_loss_20: 1.2670 - dense_1_loss_21: 1.0494 - dense_1_loss_22: 1.0782 - dense_1_loss_23: 1.1155 - dense_1_loss_24: 1.1208 - dense_1_loss_25: 1.2689 - dense_1_loss_26: 1.1087 - dense_1_loss_27: 1.3593 - dense_1_loss_28: 1.2223 - dense_1_loss_29: 1.2692 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5333 - dense_1_acc_3: 0.4667 - dense_1_acc_4: 0.4333 - dense_1_acc_5: 0.4833 - dense_1_acc_6: 0.5333 - dense_1_acc_7: 0.5333 - dense_1_acc_8: 0.5667 - dense_1_acc_9: 0.5000 - dense_1_acc_10: 0.5667 - dense_1_acc_11: 0.3833 - dense_1_acc_12: 0.4333 - dense_1_acc_13: 0.6833 - dense_1_acc_14: 0.4667 - dense_1_acc_15: 0.4500 - dense_1_acc_16: 0.4833 - dense_1_acc_17: 0.5000 - dense_1_acc_18: 0.6167 - dense_1_acc_19: 0.5333 - dense_1_acc_20: 0.3833 - dense_1_acc_21: 0.5000 - dense_1_acc_22: 0.5667 - dense_1_acc_23: 0.6000 - dense_1_acc_24: 0.4500 - dense_1_acc_25: 0.4500 - dense_1_acc_26: 0.5667 - dense_1_acc_27: 0.4833 - dense_1_acc_28: 0.5000 - dense_1_acc_29: 0.5500 - dense_1_acc_30: 0.0167     \n",
      "Epoch 48/100\n",
      "60/60 [==============================] - ETA: 0s - loss: 35.2913 - dense_1_loss_1: 3.8078 - dense_1_loss_2: 1.1762 - dense_1_loss_3: 1.2137 - dense_1_loss_4: 1.0457 - dense_1_loss_5: 1.2732 - dense_1_loss_6: 1.0471 - dense_1_loss_7: 0.9055 - dense_1_loss_8: 0.9299 - dense_1_loss_9: 1.3242 - dense_1_loss_10: 0.9350 - dense_1_loss_11: 1.2534 - dense_1_loss_12: 1.1400 - dense_1_loss_13: 1.0753 - dense_1_loss_14: 1.1253 - dense_1_loss_15: 1.2279 - dense_1_loss_16: 1.0512 - dense_1_loss_17: 1.0236 - dense_1_loss_18: 0.9316 - dense_1_loss_19: 1.1355 - dense_1_loss_20: 1.2240 - dense_1_loss_21: 0.9309 - dense_1_loss_22: 1.0657 - dense_1_loss_23: 1.1412 - dense_1_loss_24: 1.0421 - dense_1_loss_25: 1.2421 - dense_1_loss_26: 1.0913 - dense_1_loss_27: 1.1469 - dense_1_loss_28: 1.3007 - dense_1_loss_29: 1.4842 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.0938 - dense_1_acc_2: 0.4688 - dense_1_acc_3: 0.4688 - dense_1_acc_4: 0.5312 - dense_1_acc_5: 0.4375 - dense_1_acc_6: 0.5625 - dense_1_acc_7: 0.6250 - dense_1_acc_8: 0.6250 - dense_1_acc_9: 0.5000 - dense_1_acc_10: 0.6250 - dense_1_acc_11: 0.4375 - dense_1_acc_12: 0.5312 - dense_1_acc_13: 0.6562 - dense_1_acc_14: 0.4688 - dense_1_acc_15: 0.3750 - dense_1_acc_16: 0.5312 - dense_1_acc_17: 0.5625 - dense_1_acc_18: 0.5938 - dense_1_acc_19: 0.5312 - dense_1_acc_20: 0.4375 - dense_1_acc_21: 0.5625 - dense_1_acc_22: 0.5625 - dense_1_acc_23: 0.5938 - dense_1_acc_24: 0.4375 - dense_1_acc_25: 0.4375 - dense_1_acc_26: 0.5312 - dense_1_acc_27: 0.4688 - dense_1_acc_28: 0.4688 - dense_1_acc_29: 0.5000 - dense_1_acc_30: 0.03 - 0s - loss: 36.2270 - dense_1_loss_1: 3.8351 - dense_1_loss_2: 1.2170 - dense_1_loss_3: 1.1803 - dense_1_loss_4: 1.3069 - dense_1_loss_5: 1.1664 - dense_1_loss_6: 1.2245 - dense_1_loss_7: 1.0131 - dense_1_loss_8: 1.0482 - dense_1_loss_9: 1.2665 - dense_1_loss_10: 1.0407 - dense_1_loss_11: 1.2963 - dense_1_loss_12: 1.1922 - dense_1_loss_13: 0.8717 - dense_1_loss_14: 1.1289 - dense_1_loss_15: 1.2263 - dense_1_loss_16: 1.1484 - dense_1_loss_17: 1.1270 - dense_1_loss_18: 1.0355 - dense_1_loss_19: 1.0761 - dense_1_loss_20: 1.2642 - dense_1_loss_21: 1.0455 - dense_1_loss_22: 1.0738 - dense_1_loss_23: 1.1131 - dense_1_loss_24: 1.1184 - dense_1_loss_25: 1.2655 - dense_1_loss_26: 1.1015 - dense_1_loss_27: 1.3582 - dense_1_loss_28: 1.2204 - dense_1_loss_29: 1.2653 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5000 - dense_1_acc_3: 0.4833 - dense_1_acc_4: 0.4167 - dense_1_acc_5: 0.4833 - dense_1_acc_6: 0.5500 - dense_1_acc_7: 0.5333 - dense_1_acc_8: 0.5500 - dense_1_acc_9: 0.5000 - dense_1_acc_10: 0.5667 - dense_1_acc_11: 0.4000 - dense_1_acc_12: 0.4500 - dense_1_acc_13: 0.6667 - dense_1_acc_14: 0.4833 - dense_1_acc_15: 0.4500 - dense_1_acc_16: 0.4833 - dense_1_acc_17: 0.4667 - dense_1_acc_18: 0.6167 - dense_1_acc_19: 0.5667 - dense_1_acc_20: 0.4000 - dense_1_acc_21: 0.5167 - dense_1_acc_22: 0.6000 - dense_1_acc_23: 0.5833 - dense_1_acc_24: 0.4500 - dense_1_acc_25: 0.4500 - dense_1_acc_26: 0.5500 - dense_1_acc_27: 0.4667 - dense_1_acc_28: 0.5167 - dense_1_acc_29: 0.5667 - dense_1_acc_30: 0.0167     \n",
      "Epoch 49/100\n",
      "60/60 [==============================] - 0s - loss: 36.1555 - dense_1_loss_1: 3.8305 - dense_1_loss_2: 1.2173 - dense_1_loss_3: 1.1763 - dense_1_loss_4: 1.3061 - dense_1_loss_5: 1.1615 - dense_1_loss_6: 1.2214 - dense_1_loss_7: 1.0072 - dense_1_loss_8: 1.0454 - dense_1_loss_9: 1.2647 - dense_1_loss_10: 1.0377 - dense_1_loss_11: 1.2915 - dense_1_loss_12: 1.1916 - dense_1_loss_13: 0.8692 - dense_1_loss_14: 1.1262 - dense_1_loss_15: 1.2229 - dense_1_loss_16: 1.1460 - dense_1_loss_17: 1.1262 - dense_1_loss_18: 1.0354 - dense_1_loss_19: 1.0735 - dense_1_loss_20: 1.2623 - dense_1_loss_21: 1.0427 - dense_1_loss_22: 1.0727 - dense_1_loss_23: 1.1117 - dense_1_loss_24: 1.1175 - dense_1_loss_25: 1.2637 - dense_1_loss_26: 1.0964 - dense_1_loss_27: 1.3559 - dense_1_loss_28: 1.2183 - dense_1_loss_29: 1.2636 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5000 - dense_1_acc_3: 0.4500 - dense_1_acc_4: 0.4167 - dense_1_acc_5: 0.4667 - dense_1_acc_6: 0.5333 - dense_1_acc_7: 0.5333 - dense_1_acc_8: 0.5500 - dense_1_acc_9: 0.4833 - dense_1_acc_10: 0.5667 - dense_1_acc_11: 0.4000 - dense_1_acc_12: 0.4500 - dense_1_acc_13: 0.6833 - dense_1_acc_14: 0.5000 - dense_1_acc_15: 0.4500 - dense_1_acc_16: 0.4833 - dense_1_acc_17: 0.4667 - dense_1_acc_18: 0.6167 - dense_1_acc_19: 0.5667 - dense_1_acc_20: 0.4000 - dense_1_acc_21: 0.5167 - dense_1_acc_22: 0.6333 - dense_1_acc_23: 0.5667 - dense_1_acc_24: 0.4667 - dense_1_acc_25: 0.4333 - dense_1_acc_26: 0.5500 - dense_1_acc_27: 0.4667 - dense_1_acc_28: 0.5167 - dense_1_acc_29: 0.5667 - dense_1_acc_30: 0.0167         \n",
      "Epoch 50/100\n",
      "60/60 [==============================] - ETA: 0s - loss: 35.1432 - dense_1_loss_1: 3.8172 - dense_1_loss_2: 1.0372 - dense_1_loss_3: 0.9562 - dense_1_loss_4: 0.9900 - dense_1_loss_5: 1.0607 - dense_1_loss_6: 1.2258 - dense_1_loss_7: 0.8648 - dense_1_loss_8: 1.0717 - dense_1_loss_9: 1.2820 - dense_1_loss_10: 0.9437 - dense_1_loss_11: 1.3635 - dense_1_loss_12: 1.1860 - dense_1_loss_13: 0.6672 - dense_1_loss_14: 1.0693 - dense_1_loss_15: 1.2901 - dense_1_loss_16: 1.0595 - dense_1_loss_17: 1.2953 - dense_1_loss_18: 0.8867 - dense_1_loss_19: 1.2609 - dense_1_loss_20: 1.4305 - dense_1_loss_21: 1.0171 - dense_1_loss_22: 1.0177 - dense_1_loss_23: 1.0142 - dense_1_loss_24: 1.0186 - dense_1_loss_25: 1.2042 - dense_1_loss_26: 1.1197 - dense_1_loss_27: 1.4278 - dense_1_loss_28: 1.3027 - dense_1_loss_29: 1.2630 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1562 - dense_1_acc_2: 0.6562 - dense_1_acc_3: 0.5000 - dense_1_acc_4: 0.5312 - dense_1_acc_5: 0.4688 - dense_1_acc_6: 0.4062 - dense_1_acc_7: 0.6250 - dense_1_acc_8: 0.5625 - dense_1_acc_9: 0.4375 - dense_1_acc_10: 0.6875 - dense_1_acc_11: 0.4062 - dense_1_acc_12: 0.3750 - dense_1_acc_13: 0.8125 - dense_1_acc_14: 0.5938 - dense_1_acc_15: 0.4375 - dense_1_acc_16: 0.5312 - dense_1_acc_17: 0.4375 - dense_1_acc_18: 0.6875 - dense_1_acc_19: 0.4688 - dense_1_acc_20: 0.3125 - dense_1_acc_21: 0.5938 - dense_1_acc_22: 0.5938 - dense_1_acc_23: 0.5625 - dense_1_acc_24: 0.5312 - dense_1_acc_25: 0.4688 - dense_1_acc_26: 0.5938 - dense_1_acc_27: 0.3750 - dense_1_acc_28: 0.5000 - dense_1_acc_29: 0.5625 - dense_1_acc_30: 0.03 - 0s - loss: 36.0732 - dense_1_loss_1: 3.8252 - dense_1_loss_2: 1.2154 - dense_1_loss_3: 1.1713 - dense_1_loss_4: 1.3038 - dense_1_loss_5: 1.1569 - dense_1_loss_6: 1.2177 - dense_1_loss_7: 1.0015 - dense_1_loss_8: 1.0412 - dense_1_loss_9: 1.2600 - dense_1_loss_10: 1.0368 - dense_1_loss_11: 1.2879 - dense_1_loss_12: 1.1894 - dense_1_loss_13: 0.8662 - dense_1_loss_14: 1.1238 - dense_1_loss_15: 1.2196 - dense_1_loss_16: 1.1439 - dense_1_loss_17: 1.1227 - dense_1_loss_18: 1.0358 - dense_1_loss_19: 1.0726 - dense_1_loss_20: 1.2602 - dense_1_loss_21: 1.0415 - dense_1_loss_22: 1.0697 - dense_1_loss_23: 1.1098 - dense_1_loss_24: 1.1175 - dense_1_loss_25: 1.2606 - dense_1_loss_26: 1.0916 - dense_1_loss_27: 1.3537 - dense_1_loss_28: 1.2159 - dense_1_loss_29: 1.2610 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5500 - dense_1_acc_3: 0.4667 - dense_1_acc_4: 0.4000 - dense_1_acc_5: 0.4500 - dense_1_acc_6: 0.5167 - dense_1_acc_7: 0.5333 - dense_1_acc_8: 0.5500 - dense_1_acc_9: 0.4500 - dense_1_acc_10: 0.6000 - dense_1_acc_11: 0.4167 - dense_1_acc_12: 0.4167 - dense_1_acc_13: 0.7000 - dense_1_acc_14: 0.5000 - dense_1_acc_15: 0.4167 - dense_1_acc_16: 0.4833 - dense_1_acc_17: 0.5000 - dense_1_acc_18: 0.6000 - dense_1_acc_19: 0.5333 - dense_1_acc_20: 0.4167 - dense_1_acc_21: 0.5000 - dense_1_acc_22: 0.6167 - dense_1_acc_23: 0.5667 - dense_1_acc_24: 0.4667 - dense_1_acc_25: 0.4333 - dense_1_acc_26: 0.5500 - dense_1_acc_27: 0.4333 - dense_1_acc_28: 0.5000 - dense_1_acc_29: 0.5500 - dense_1_acc_30: 0.0167     \n",
      "Epoch 51/100\n",
      "60/60 [==============================] - 0s - loss: 36.0098 - dense_1_loss_1: 3.8201 - dense_1_loss_2: 1.2138 - dense_1_loss_3: 1.1693 - dense_1_loss_4: 1.3044 - dense_1_loss_5: 1.1533 - dense_1_loss_6: 1.2145 - dense_1_loss_7: 0.9973 - dense_1_loss_8: 1.0364 - dense_1_loss_9: 1.2570 - dense_1_loss_10: 1.0365 - dense_1_loss_11: 1.2844 - dense_1_loss_12: 1.1883 - dense_1_loss_13: 0.8637 - dense_1_loss_14: 1.1226 - dense_1_loss_15: 1.2176 - dense_1_loss_16: 1.1436 - dense_1_loss_17: 1.1203 - dense_1_loss_18: 1.0356 - dense_1_loss_19: 1.0709 - dense_1_loss_20: 1.2576 - dense_1_loss_21: 1.0403 - dense_1_loss_22: 1.0677 - dense_1_loss_23: 1.1089 - dense_1_loss_24: 1.1183 - dense_1_loss_25: 1.2574 - dense_1_loss_26: 1.0873 - dense_1_loss_27: 1.3508 - dense_1_loss_28: 1.2133 - dense_1_loss_29: 1.2585 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5333 - dense_1_acc_3: 0.4833 - dense_1_acc_4: 0.4000 - dense_1_acc_5: 0.4667 - dense_1_acc_6: 0.5333 - dense_1_acc_7: 0.5500 - dense_1_acc_8: 0.5833 - dense_1_acc_9: 0.4333 - dense_1_acc_10: 0.6000 - dense_1_acc_11: 0.4333 - dense_1_acc_12: 0.4167 - dense_1_acc_13: 0.6833 - dense_1_acc_14: 0.5167 - dense_1_acc_15: 0.4333 - dense_1_acc_16: 0.4833 - dense_1_acc_17: 0.4833 - dense_1_acc_18: 0.6000 - dense_1_acc_19: 0.5500 - dense_1_acc_20: 0.4000 - dense_1_acc_21: 0.5333 - dense_1_acc_22: 0.6333 - dense_1_acc_23: 0.5167 - dense_1_acc_24: 0.4333 - dense_1_acc_25: 0.4833 - dense_1_acc_26: 0.5667 - dense_1_acc_27: 0.4167 - dense_1_acc_28: 0.5000 - dense_1_acc_29: 0.5500 - dense_1_acc_30: 0.0167         \n",
      "Epoch 52/100\n",
      "60/60 [==============================] - 0s - loss: 35.9456 - dense_1_loss_1: 3.8155 - dense_1_loss_2: 1.2093 - dense_1_loss_3: 1.1650 - dense_1_loss_4: 1.3019 - dense_1_loss_5: 1.1509 - dense_1_loss_6: 1.2110 - dense_1_loss_7: 0.9916 - dense_1_loss_8: 1.0330 - dense_1_loss_9: 1.2534 - dense_1_loss_10: 1.0341 - dense_1_loss_11: 1.2808 - dense_1_loss_12: 1.1857 - dense_1_loss_13: 0.8624 - dense_1_loss_14: 1.1205 - dense_1_loss_15: 1.2160 - dense_1_loss_16: 1.1428 - dense_1_loss_17: 1.1173 - dense_1_loss_18: 1.0350 - dense_1_loss_19: 1.0689 - dense_1_loss_20: 1.2571 - dense_1_loss_21: 1.0404 - dense_1_loss_22: 1.0675 - dense_1_loss_23: 1.1074 - dense_1_loss_24: 1.1187 - dense_1_loss_25: 1.2567 - dense_1_loss_26: 1.0848 - dense_1_loss_27: 1.3496 - dense_1_loss_28: 1.2131 - dense_1_loss_29: 1.2551 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5333 - dense_1_acc_3: 0.4833 - dense_1_acc_4: 0.4000 - dense_1_acc_5: 0.4667 - dense_1_acc_6: 0.5333 - dense_1_acc_7: 0.5500 - dense_1_acc_8: 0.5833 - dense_1_acc_9: 0.4333 - dense_1_acc_10: 0.6000 - dense_1_acc_11: 0.4333 - dense_1_acc_12: 0.4167 - dense_1_acc_13: 0.6833 - dense_1_acc_14: 0.5167 - dense_1_acc_15: 0.4333 - dense_1_acc_16: 0.4833 - dense_1_acc_17: 0.4833 - dense_1_acc_18: 0.6000 - dense_1_acc_19: 0.5500 - dense_1_acc_20: 0.4000 - dense_1_acc_21: 0.5333 - dense_1_acc_22: 0.6333 - dense_1_acc_23: 0.5167 - dense_1_acc_24: 0.4333 - dense_1_acc_25: 0.4833 - dense_1_acc_26: 0.5667 - dense_1_acc_27: 0.4167 - dense_1_acc_28: 0.5000 - dense_1_acc_29: 0.5500 - dense_1_acc_30: 0.0167     \n",
      "Epoch 53/100\n",
      "60/60 [==============================] - 0s - loss: 35.8825 - dense_1_loss_1: 3.8103 - dense_1_loss_2: 1.2052 - dense_1_loss_3: 1.1601 - dense_1_loss_4: 1.2990 - dense_1_loss_5: 1.1487 - dense_1_loss_6: 1.2069 - dense_1_loss_7: 0.9876 - dense_1_loss_8: 1.0298 - dense_1_loss_9: 1.2497 - dense_1_loss_10: 1.0330 - dense_1_loss_11: 1.2792 - dense_1_loss_12: 1.1817 - dense_1_loss_13: 0.8613 - dense_1_loss_14: 1.1202 - dense_1_loss_15: 1.2158 - dense_1_loss_16: 1.1438 - dense_1_loss_17: 1.1137 - dense_1_loss_18: 1.0329 - dense_1_loss_19: 1.0668 - dense_1_loss_20: 1.2553 - dense_1_loss_21: 1.0409 - dense_1_loss_22: 1.0668 - dense_1_loss_23: 1.1061 - dense_1_loss_24: 1.1163 - dense_1_loss_25: 1.2544 - dense_1_loss_26: 1.0828 - dense_1_loss_27: 1.3504 - dense_1_loss_28: 1.2118 - dense_1_loss_29: 1.2521 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5167 - dense_1_acc_3: 0.4667 - dense_1_acc_4: 0.4000 - dense_1_acc_5: 0.4833 - dense_1_acc_6: 0.5500 - dense_1_acc_7: 0.5500 - dense_1_acc_8: 0.6000 - dense_1_acc_9: 0.4500 - dense_1_acc_10: 0.5833 - dense_1_acc_11: 0.4500 - dense_1_acc_12: 0.4000 - dense_1_acc_13: 0.6833 - dense_1_acc_14: 0.4833 - dense_1_acc_15: 0.4167 - dense_1_acc_16: 0.4833 - dense_1_acc_17: 0.5167 - dense_1_acc_18: 0.6167 - dense_1_acc_19: 0.5167 - dense_1_acc_20: 0.3833 - dense_1_acc_21: 0.5333 - dense_1_acc_22: 0.6000 - dense_1_acc_23: 0.5333 - dense_1_acc_24: 0.4333 - dense_1_acc_25: 0.5000 - dense_1_acc_26: 0.5667 - dense_1_acc_27: 0.4167 - dense_1_acc_28: 0.5000 - dense_1_acc_29: 0.5500 - dense_1_acc_30: 0.0167         \n",
      "Epoch 54/100\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "60/60 [==============================] - 0s - loss: 35.8153 - dense_1_loss_1: 3.8061 - dense_1_loss_2: 1.2009 - dense_1_loss_3: 1.1559 - dense_1_loss_4: 1.2942 - dense_1_loss_5: 1.1460 - dense_1_loss_6: 1.2026 - dense_1_loss_7: 0.9841 - dense_1_loss_8: 1.0279 - dense_1_loss_9: 1.2451 - dense_1_loss_10: 1.0324 - dense_1_loss_11: 1.2777 - dense_1_loss_12: 1.1780 - dense_1_loss_13: 0.8604 - dense_1_loss_14: 1.1188 - dense_1_loss_15: 1.2139 - dense_1_loss_16: 1.1419 - dense_1_loss_17: 1.1114 - dense_1_loss_18: 1.0311 - dense_1_loss_19: 1.0650 - dense_1_loss_20: 1.2538 - dense_1_loss_21: 1.0413 - dense_1_loss_22: 1.0651 - dense_1_loss_23: 1.1041 - dense_1_loss_24: 1.1162 - dense_1_loss_25: 1.2526 - dense_1_loss_26: 1.0809 - dense_1_loss_27: 1.3492 - dense_1_loss_28: 1.2104 - dense_1_loss_29: 1.2479 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5500 - dense_1_acc_3: 0.5000 - dense_1_acc_4: 0.4167 - dense_1_acc_5: 0.4833 - dense_1_acc_6: 0.5500 - dense_1_acc_7: 0.5667 - dense_1_acc_8: 0.5833 - dense_1_acc_9: 0.4500 - dense_1_acc_10: 0.6000 - dense_1_acc_11: 0.4333 - dense_1_acc_12: 0.4167 - dense_1_acc_13: 0.6667 - dense_1_acc_14: 0.5000 - dense_1_acc_15: 0.4500 - dense_1_acc_16: 0.4667 - dense_1_acc_17: 0.5167 - dense_1_acc_18: 0.5833 - dense_1_acc_19: 0.4833 - dense_1_acc_20: 0.3833 - dense_1_acc_21: 0.5333 - dense_1_acc_22: 0.5833 - dense_1_acc_23: 0.5333 - dense_1_acc_24: 0.4167 - dense_1_acc_25: 0.5333 - dense_1_acc_26: 0.5667 - dense_1_acc_27: 0.4167 - dense_1_acc_28: 0.5000 - dense_1_acc_29: 0.5333 - dense_1_acc_30: 0.0167     \n",
      "Epoch 55/100\n",
      "60/60 [==============================] - 0s - loss: 35.7781 - dense_1_loss_1: 3.8016 - dense_1_loss_2: 1.1987 - dense_1_loss_3: 1.1554 - dense_1_loss_4: 1.2922 - dense_1_loss_5: 1.1439 - dense_1_loss_6: 1.2013 - dense_1_loss_7: 0.9824 - dense_1_loss_8: 1.0275 - dense_1_loss_9: 1.2432 - dense_1_loss_10: 1.0329 - dense_1_loss_11: 1.2776 - dense_1_loss_12: 1.1756 - dense_1_loss_13: 0.8604 - dense_1_loss_14: 1.1169 - dense_1_loss_15: 1.2127 - dense_1_loss_16: 1.1414 - dense_1_loss_17: 1.1094 - dense_1_loss_18: 1.0303 - dense_1_loss_19: 1.0646 - dense_1_loss_20: 1.2511 - dense_1_loss_21: 1.0426 - dense_1_loss_22: 1.0639 - dense_1_loss_23: 1.1030 - dense_1_loss_24: 1.1155 - dense_1_loss_25: 1.2504 - dense_1_loss_26: 1.0788 - dense_1_loss_27: 1.3507 - dense_1_loss_28: 1.2106 - dense_1_loss_29: 1.2433 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5500 - dense_1_acc_3: 0.5000 - dense_1_acc_4: 0.4167 - dense_1_acc_5: 0.4667 - dense_1_acc_6: 0.5500 - dense_1_acc_7: 0.5667 - dense_1_acc_8: 0.5833 - dense_1_acc_9: 0.4667 - dense_1_acc_10: 0.6000 - dense_1_acc_11: 0.4500 - dense_1_acc_12: 0.4167 - dense_1_acc_13: 0.6667 - dense_1_acc_14: 0.5000 - dense_1_acc_15: 0.4500 - dense_1_acc_16: 0.4667 - dense_1_acc_17: 0.5167 - dense_1_acc_18: 0.5833 - dense_1_acc_19: 0.4667 - dense_1_acc_20: 0.3667 - dense_1_acc_21: 0.5333 - dense_1_acc_22: 0.5833 - dense_1_acc_23: 0.5500 - dense_1_acc_24: 0.4333 - dense_1_acc_25: 0.5167 - dense_1_acc_26: 0.5667 - dense_1_acc_27: 0.4167 - dense_1_acc_28: 0.5000 - dense_1_acc_29: 0.5333 - dense_1_acc_30: 0.0167         \n",
      "Epoch 56/100\n",
      "60/60 [==============================] - 0s - loss: 35.7186 - dense_1_loss_1: 3.7975 - dense_1_loss_2: 1.1958 - dense_1_loss_3: 1.1535 - dense_1_loss_4: 1.2887 - dense_1_loss_5: 1.1425 - dense_1_loss_6: 1.1983 - dense_1_loss_7: 0.9803 - dense_1_loss_8: 1.0246 - dense_1_loss_9: 1.2393 - dense_1_loss_10: 1.0326 - dense_1_loss_11: 1.2774 - dense_1_loss_12: 1.1725 - dense_1_loss_13: 0.8599 - dense_1_loss_14: 1.1153 - dense_1_loss_15: 1.2112 - dense_1_loss_16: 1.1396 - dense_1_loss_17: 1.1078 - dense_1_loss_18: 1.0292 - dense_1_loss_19: 1.0643 - dense_1_loss_20: 1.2488 - dense_1_loss_21: 1.0417 - dense_1_loss_22: 1.0622 - dense_1_loss_23: 1.1020 - dense_1_loss_24: 1.1150 - dense_1_loss_25: 1.2493 - dense_1_loss_26: 1.0754 - dense_1_loss_27: 1.3499 - dense_1_loss_28: 1.2076 - dense_1_loss_29: 1.2366 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5333 - dense_1_acc_3: 0.5167 - dense_1_acc_4: 0.4333 - dense_1_acc_5: 0.4667 - dense_1_acc_6: 0.5500 - dense_1_acc_7: 0.5667 - dense_1_acc_8: 0.5667 - dense_1_acc_9: 0.4667 - dense_1_acc_10: 0.6000 - dense_1_acc_11: 0.4500 - dense_1_acc_12: 0.4167 - dense_1_acc_13: 0.6667 - dense_1_acc_14: 0.5000 - dense_1_acc_15: 0.4500 - dense_1_acc_16: 0.4500 - dense_1_acc_17: 0.5167 - dense_1_acc_18: 0.6000 - dense_1_acc_19: 0.4667 - dense_1_acc_20: 0.3500 - dense_1_acc_21: 0.5333 - dense_1_acc_22: 0.5833 - dense_1_acc_23: 0.5833 - dense_1_acc_24: 0.4500 - dense_1_acc_25: 0.5000 - dense_1_acc_26: 0.5500 - dense_1_acc_27: 0.4333 - dense_1_acc_28: 0.5000 - dense_1_acc_29: 0.5333 - dense_1_acc_30: 0.0167         \n",
      "Epoch 57/100\n",
      "60/60 [==============================] - 0s - loss: 35.6887 - dense_1_loss_1: 3.7932 - dense_1_loss_2: 1.1934 - dense_1_loss_3: 1.1538 - dense_1_loss_4: 1.2868 - dense_1_loss_5: 1.1397 - dense_1_loss_6: 1.1971 - dense_1_loss_7: 0.9792 - dense_1_loss_8: 1.0246 - dense_1_loss_9: 1.2381 - dense_1_loss_10: 1.0330 - dense_1_loss_11: 1.2789 - dense_1_loss_12: 1.1732 - dense_1_loss_13: 0.8594 - dense_1_loss_14: 1.1141 - dense_1_loss_15: 1.2105 - dense_1_loss_16: 1.1393 - dense_1_loss_17: 1.1070 - dense_1_loss_18: 1.0295 - dense_1_loss_19: 1.0635 - dense_1_loss_20: 1.2482 - dense_1_loss_21: 1.0417 - dense_1_loss_22: 1.0616 - dense_1_loss_23: 1.1000 - dense_1_loss_24: 1.1158 - dense_1_loss_25: 1.2483 - dense_1_loss_26: 1.0725 - dense_1_loss_27: 1.3493 - dense_1_loss_28: 1.2054 - dense_1_loss_29: 1.2318 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5333 - dense_1_acc_3: 0.4833 - dense_1_acc_4: 0.4333 - dense_1_acc_5: 0.4833 - dense_1_acc_6: 0.5500 - dense_1_acc_7: 0.5500 - dense_1_acc_8: 0.5333 - dense_1_acc_9: 0.4667 - dense_1_acc_10: 0.6000 - dense_1_acc_11: 0.4333 - dense_1_acc_12: 0.4167 - dense_1_acc_13: 0.6667 - dense_1_acc_14: 0.5000 - dense_1_acc_15: 0.4667 - dense_1_acc_16: 0.4500 - dense_1_acc_17: 0.5000 - dense_1_acc_18: 0.6000 - dense_1_acc_19: 0.4667 - dense_1_acc_20: 0.3667 - dense_1_acc_21: 0.5333 - dense_1_acc_22: 0.5833 - dense_1_acc_23: 0.5667 - dense_1_acc_24: 0.4500 - dense_1_acc_25: 0.5167 - dense_1_acc_26: 0.5500 - dense_1_acc_27: 0.4333 - dense_1_acc_28: 0.5167 - dense_1_acc_29: 0.5333 - dense_1_acc_30: 0.0167     \n",
      "Epoch 58/100\n",
      "60/60 [==============================] - 0s - loss: 35.6308 - dense_1_loss_1: 3.7885 - dense_1_loss_2: 1.1908 - dense_1_loss_3: 1.1531 - dense_1_loss_4: 1.2850 - dense_1_loss_5: 1.1393 - dense_1_loss_6: 1.1946 - dense_1_loss_7: 0.9786 - dense_1_loss_8: 1.0230 - dense_1_loss_9: 1.2358 - dense_1_loss_10: 1.0318 - dense_1_loss_11: 1.2782 - dense_1_loss_12: 1.1712 - dense_1_loss_13: 0.8589 - dense_1_loss_14: 1.1119 - dense_1_loss_15: 1.2106 - dense_1_loss_16: 1.1372 - dense_1_loss_17: 1.1057 - dense_1_loss_18: 1.0261 - dense_1_loss_19: 1.0620 - dense_1_loss_20: 1.2452 - dense_1_loss_21: 1.0391 - dense_1_loss_22: 1.0589 - dense_1_loss_23: 1.0983 - dense_1_loss_24: 1.1142 - dense_1_loss_25: 1.2469 - dense_1_loss_26: 1.0695 - dense_1_loss_27: 1.3480 - dense_1_loss_28: 1.2028 - dense_1_loss_29: 1.2258 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5167 - dense_1_acc_3: 0.4667 - dense_1_acc_4: 0.4333 - dense_1_acc_5: 0.4833 - dense_1_acc_6: 0.5500 - dense_1_acc_7: 0.5500 - dense_1_acc_8: 0.5500 - dense_1_acc_9: 0.5000 - dense_1_acc_10: 0.5667 - dense_1_acc_11: 0.4000 - dense_1_acc_12: 0.4500 - dense_1_acc_13: 0.6667 - dense_1_acc_14: 0.4833 - dense_1_acc_15: 0.4667 - dense_1_acc_16: 0.4667 - dense_1_acc_17: 0.5000 - dense_1_acc_18: 0.6000 - dense_1_acc_19: 0.5000 - dense_1_acc_20: 0.3833 - dense_1_acc_21: 0.5167 - dense_1_acc_22: 0.5833 - dense_1_acc_23: 0.5833 - dense_1_acc_24: 0.4500 - dense_1_acc_25: 0.4833 - dense_1_acc_26: 0.5500 - dense_1_acc_27: 0.4667 - dense_1_acc_28: 0.5167 - dense_1_acc_29: 0.5500 - dense_1_acc_30: 0.0167     \n",
      "Epoch 59/100\n",
      "60/60 [==============================] - ETA: 0s - loss: 34.9588 - dense_1_loss_1: 3.6541 - dense_1_loss_2: 1.1593 - dense_1_loss_3: 1.2915 - dense_1_loss_4: 1.2316 - dense_1_loss_5: 1.0786 - dense_1_loss_6: 1.4234 - dense_1_loss_7: 0.8711 - dense_1_loss_8: 1.0502 - dense_1_loss_9: 1.3982 - dense_1_loss_10: 0.9601 - dense_1_loss_11: 1.2539 - dense_1_loss_12: 1.0639 - dense_1_loss_13: 0.5959 - dense_1_loss_14: 1.2100 - dense_1_loss_15: 0.9618 - dense_1_loss_16: 1.0764 - dense_1_loss_17: 1.0996 - dense_1_loss_18: 1.1899 - dense_1_loss_19: 0.9828 - dense_1_loss_20: 1.4116 - dense_1_loss_21: 1.0336 - dense_1_loss_22: 1.0662 - dense_1_loss_23: 1.0628 - dense_1_loss_24: 1.1942 - dense_1_loss_25: 1.3055 - dense_1_loss_26: 0.7956 - dense_1_loss_27: 1.2297 - dense_1_loss_28: 1.4147 - dense_1_loss_29: 0.8925 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1875 - dense_1_acc_2: 0.5938 - dense_1_acc_3: 0.4688 - dense_1_acc_4: 0.4688 - dense_1_acc_5: 0.5938 - dense_1_acc_6: 0.4375 - dense_1_acc_7: 0.6875 - dense_1_acc_8: 0.4375 - dense_1_acc_9: 0.4375 - dense_1_acc_10: 0.6875 - dense_1_acc_11: 0.3438 - dense_1_acc_12: 0.5312 - dense_1_acc_13: 0.7812 - dense_1_acc_14: 0.4375 - dense_1_acc_15: 0.5312 - dense_1_acc_16: 0.5000 - dense_1_acc_17: 0.5312 - dense_1_acc_18: 0.6250 - dense_1_acc_19: 0.4688 - dense_1_acc_20: 0.2812 - dense_1_acc_21: 0.5938 - dense_1_acc_22: 0.5938 - dense_1_acc_23: 0.6562 - dense_1_acc_24: 0.3750 - dense_1_acc_25: 0.4375 - dense_1_acc_26: 0.7500 - dense_1_acc_27: 0.4688 - dense_1_acc_28: 0.3750 - dense_1_acc_29: 0.7188 - dense_1_acc_30: 0.03 - 0s - loss: 35.5979 - dense_1_loss_1: 3.7846 - dense_1_loss_2: 1.1892 - dense_1_loss_3: 1.1519 - dense_1_loss_4: 1.2831 - dense_1_loss_5: 1.1395 - dense_1_loss_6: 1.1931 - dense_1_loss_7: 0.9776 - dense_1_loss_8: 1.0226 - dense_1_loss_9: 1.2339 - dense_1_loss_10: 1.0301 - dense_1_loss_11: 1.2767 - dense_1_loss_12: 1.1719 - dense_1_loss_13: 0.8587 - dense_1_loss_14: 1.1107 - dense_1_loss_15: 1.2099 - dense_1_loss_16: 1.1373 - dense_1_loss_17: 1.1049 - dense_1_loss_18: 1.0244 - dense_1_loss_19: 1.0614 - dense_1_loss_20: 1.2437 - dense_1_loss_21: 1.0396 - dense_1_loss_22: 1.0580 - dense_1_loss_23: 1.0974 - dense_1_loss_24: 1.1142 - dense_1_loss_25: 1.2470 - dense_1_loss_26: 1.0677 - dense_1_loss_27: 1.3458 - dense_1_loss_28: 1.2004 - dense_1_loss_29: 1.2224 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5167 - dense_1_acc_3: 0.4667 - dense_1_acc_4: 0.4333 - dense_1_acc_5: 0.4833 - dense_1_acc_6: 0.5500 - dense_1_acc_7: 0.5500 - dense_1_acc_8: 0.5500 - dense_1_acc_9: 0.5000 - dense_1_acc_10: 0.5667 - dense_1_acc_11: 0.4000 - dense_1_acc_12: 0.4500 - dense_1_acc_13: 0.6667 - dense_1_acc_14: 0.4833 - dense_1_acc_15: 0.4667 - dense_1_acc_16: 0.4667 - dense_1_acc_17: 0.5000 - dense_1_acc_18: 0.6000 - dense_1_acc_19: 0.5000 - dense_1_acc_20: 0.3833 - dense_1_acc_21: 0.5167 - dense_1_acc_22: 0.5833 - dense_1_acc_23: 0.5833 - dense_1_acc_24: 0.4500 - dense_1_acc_25: 0.4833 - dense_1_acc_26: 0.5500 - dense_1_acc_27: 0.4667 - dense_1_acc_28: 0.5167 - dense_1_acc_29: 0.5500 - dense_1_acc_30: 0.0167     \n",
      "Epoch 60/100\n",
      "60/60 [==============================] - 0s - loss: 35.5448 - dense_1_loss_1: 3.7804 - dense_1_loss_2: 1.1877 - dense_1_loss_3: 1.1498 - dense_1_loss_4: 1.2798 - dense_1_loss_5: 1.1382 - dense_1_loss_6: 1.1899 - dense_1_loss_7: 0.9755 - dense_1_loss_8: 1.0217 - dense_1_loss_9: 1.2296 - dense_1_loss_10: 1.0298 - dense_1_loss_11: 1.2757 - dense_1_loss_12: 1.1712 - dense_1_loss_13: 0.8569 - dense_1_loss_14: 1.1082 - dense_1_loss_15: 1.2085 - dense_1_loss_16: 1.1364 - dense_1_loss_17: 1.1028 - dense_1_loss_18: 1.0228 - dense_1_loss_19: 1.0605 - dense_1_loss_20: 1.2417 - dense_1_loss_21: 1.0371 - dense_1_loss_22: 1.0561 - dense_1_loss_23: 1.0965 - dense_1_loss_24: 1.1128 - dense_1_loss_25: 1.2462 - dense_1_loss_26: 1.0661 - dense_1_loss_27: 1.3443 - dense_1_loss_28: 1.1996 - dense_1_loss_29: 1.2190 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5167 - dense_1_acc_3: 0.4667 - dense_1_acc_4: 0.4167 - dense_1_acc_5: 0.4833 - dense_1_acc_6: 0.5500 - dense_1_acc_7: 0.5500 - dense_1_acc_8: 0.5500 - dense_1_acc_9: 0.5000 - dense_1_acc_10: 0.5500 - dense_1_acc_11: 0.3833 - dense_1_acc_12: 0.4667 - dense_1_acc_13: 0.6667 - dense_1_acc_14: 0.5000 - dense_1_acc_15: 0.4667 - dense_1_acc_16: 0.4667 - dense_1_acc_17: 0.5000 - dense_1_acc_18: 0.5833 - dense_1_acc_19: 0.5167 - dense_1_acc_20: 0.3833 - dense_1_acc_21: 0.5000 - dense_1_acc_22: 0.6000 - dense_1_acc_23: 0.5833 - dense_1_acc_24: 0.4500 - dense_1_acc_25: 0.4833 - dense_1_acc_26: 0.5500 - dense_1_acc_27: 0.4667 - dense_1_acc_28: 0.5167 - dense_1_acc_29: 0.5500 - dense_1_acc_30: 0.0167     \n",
      "Epoch 61/100\n",
      "60/60 [==============================] - 0s - loss: 35.5282 - dense_1_loss_1: 3.7758 - dense_1_loss_2: 1.1877 - dense_1_loss_3: 1.1487 - dense_1_loss_4: 1.2783 - dense_1_loss_5: 1.1392 - dense_1_loss_6: 1.1882 - dense_1_loss_7: 0.9752 - dense_1_loss_8: 1.0222 - dense_1_loss_9: 1.2285 - dense_1_loss_10: 1.0289 - dense_1_loss_11: 1.2746 - dense_1_loss_12: 1.1715 - dense_1_loss_13: 0.8572 - dense_1_loss_14: 1.1075 - dense_1_loss_15: 1.2084 - dense_1_loss_16: 1.1372 - dense_1_loss_17: 1.1034 - dense_1_loss_18: 1.0210 - dense_1_loss_19: 1.0589 - dense_1_loss_20: 1.2412 - dense_1_loss_21: 1.0363 - dense_1_loss_22: 1.0567 - dense_1_loss_23: 1.0968 - dense_1_loss_24: 1.1105 - dense_1_loss_25: 1.2474 - dense_1_loss_26: 1.0650 - dense_1_loss_27: 1.3439 - dense_1_loss_28: 1.2005 - dense_1_loss_29: 1.2175 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5167 - dense_1_acc_3: 0.4667 - dense_1_acc_4: 0.4333 - dense_1_acc_5: 0.4833 - dense_1_acc_6: 0.5500 - dense_1_acc_7: 0.5333 - dense_1_acc_8: 0.5500 - dense_1_acc_9: 0.5000 - dense_1_acc_10: 0.5667 - dense_1_acc_11: 0.4167 - dense_1_acc_12: 0.4500 - dense_1_acc_13: 0.6667 - dense_1_acc_14: 0.4667 - dense_1_acc_15: 0.4500 - dense_1_acc_16: 0.4667 - dense_1_acc_17: 0.4833 - dense_1_acc_18: 0.6167 - dense_1_acc_19: 0.5167 - dense_1_acc_20: 0.3833 - dense_1_acc_21: 0.5333 - dense_1_acc_22: 0.5833 - dense_1_acc_23: 0.5833 - dense_1_acc_24: 0.4500 - dense_1_acc_25: 0.4667 - dense_1_acc_26: 0.5500 - dense_1_acc_27: 0.4667 - dense_1_acc_28: 0.5167 - dense_1_acc_29: 0.5500 - dense_1_acc_30: 0.0167     \n",
      "Epoch 62/100\n",
      "60/60 [==============================] - 0s - loss: 35.4814 - dense_1_loss_1: 3.7717 - dense_1_loss_2: 1.1854 - dense_1_loss_3: 1.1458 - dense_1_loss_4: 1.2741 - dense_1_loss_5: 1.1380 - dense_1_loss_6: 1.1848 - dense_1_loss_7: 0.9734 - dense_1_loss_8: 1.0223 - dense_1_loss_9: 1.2257 - dense_1_loss_10: 1.0278 - dense_1_loss_11: 1.2725 - dense_1_loss_12: 1.1697 - dense_1_loss_13: 0.8567 - dense_1_loss_14: 1.1060 - dense_1_loss_15: 1.2075 - dense_1_loss_16: 1.1367 - dense_1_loss_17: 1.1017 - dense_1_loss_18: 1.0187 - dense_1_loss_19: 1.0582 - dense_1_loss_20: 1.2408 - dense_1_loss_21: 1.0349 - dense_1_loss_22: 1.0560 - dense_1_loss_23: 1.0966 - dense_1_loss_24: 1.1084 - dense_1_loss_25: 1.2462 - dense_1_loss_26: 1.0634 - dense_1_loss_27: 1.3426 - dense_1_loss_28: 1.1999 - dense_1_loss_29: 1.2157 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5000 - dense_1_acc_3: 0.4500 - dense_1_acc_4: 0.4167 - dense_1_acc_5: 0.4667 - dense_1_acc_6: 0.5333 - dense_1_acc_7: 0.5333 - dense_1_acc_8: 0.5500 - dense_1_acc_9: 0.4833 - dense_1_acc_10: 0.5667 - dense_1_acc_11: 0.4000 - dense_1_acc_12: 0.4500 - dense_1_acc_13: 0.7000 - dense_1_acc_14: 0.4833 - dense_1_acc_15: 0.4500 - dense_1_acc_16: 0.4833 - dense_1_acc_17: 0.4833 - dense_1_acc_18: 0.6167 - dense_1_acc_19: 0.5500 - dense_1_acc_20: 0.4000 - dense_1_acc_21: 0.5167 - dense_1_acc_22: 0.6000 - dense_1_acc_23: 0.5833 - dense_1_acc_24: 0.4500 - dense_1_acc_25: 0.4667 - dense_1_acc_26: 0.5500 - dense_1_acc_27: 0.4667 - dense_1_acc_28: 0.5167 - dense_1_acc_29: 0.5500 - dense_1_acc_30: 0.0167         \n",
      "Epoch 63/100\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "60/60 [==============================] - 0s - loss: 35.4446 - dense_1_loss_1: 3.7677 - dense_1_loss_2: 1.1844 - dense_1_loss_3: 1.1422 - dense_1_loss_4: 1.2707 - dense_1_loss_5: 1.1368 - dense_1_loss_6: 1.1832 - dense_1_loss_7: 0.9715 - dense_1_loss_8: 1.0216 - dense_1_loss_9: 1.2232 - dense_1_loss_10: 1.0271 - dense_1_loss_11: 1.2712 - dense_1_loss_12: 1.1685 - dense_1_loss_13: 0.8565 - dense_1_loss_14: 1.1065 - dense_1_loss_15: 1.2061 - dense_1_loss_16: 1.1359 - dense_1_loss_17: 1.1016 - dense_1_loss_18: 1.0184 - dense_1_loss_19: 1.0575 - dense_1_loss_20: 1.2409 - dense_1_loss_21: 1.0334 - dense_1_loss_22: 1.0559 - dense_1_loss_23: 1.0959 - dense_1_loss_24: 1.1068 - dense_1_loss_25: 1.2461 - dense_1_loss_26: 1.0611 - dense_1_loss_27: 1.3417 - dense_1_loss_28: 1.2001 - dense_1_loss_29: 1.2120 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5167 - dense_1_acc_3: 0.4833 - dense_1_acc_4: 0.4167 - dense_1_acc_5: 0.4833 - dense_1_acc_6: 0.5500 - dense_1_acc_7: 0.5333 - dense_1_acc_8: 0.5500 - dense_1_acc_9: 0.5000 - dense_1_acc_10: 0.5500 - dense_1_acc_11: 0.4000 - dense_1_acc_12: 0.4500 - dense_1_acc_13: 0.6667 - dense_1_acc_14: 0.4667 - dense_1_acc_15: 0.4500 - dense_1_acc_16: 0.4833 - dense_1_acc_17: 0.4833 - dense_1_acc_18: 0.6167 - dense_1_acc_19: 0.5333 - dense_1_acc_20: 0.3833 - dense_1_acc_21: 0.5167 - dense_1_acc_22: 0.6000 - dense_1_acc_23: 0.5833 - dense_1_acc_24: 0.4500 - dense_1_acc_25: 0.4833 - dense_1_acc_26: 0.5500 - dense_1_acc_27: 0.4667 - dense_1_acc_28: 0.5167 - dense_1_acc_29: 0.5500 - dense_1_acc_30: 0.0167     \n",
      "Epoch 64/100\n",
      "60/60 [==============================] - 0s - loss: 35.4065 - dense_1_loss_1: 3.7636 - dense_1_loss_2: 1.1835 - dense_1_loss_3: 1.1396 - dense_1_loss_4: 1.2679 - dense_1_loss_5: 1.1367 - dense_1_loss_6: 1.1807 - dense_1_loss_7: 0.9704 - dense_1_loss_8: 1.0214 - dense_1_loss_9: 1.2213 - dense_1_loss_10: 1.0268 - dense_1_loss_11: 1.2710 - dense_1_loss_12: 1.1685 - dense_1_loss_13: 0.8550 - dense_1_loss_14: 1.1066 - dense_1_loss_15: 1.2061 - dense_1_loss_16: 1.1345 - dense_1_loss_17: 1.1015 - dense_1_loss_18: 1.0178 - dense_1_loss_19: 1.0564 - dense_1_loss_20: 1.2405 - dense_1_loss_21: 1.0315 - dense_1_loss_22: 1.0550 - dense_1_loss_23: 1.0942 - dense_1_loss_24: 1.1053 - dense_1_loss_25: 1.2444 - dense_1_loss_26: 1.0584 - dense_1_loss_27: 1.3387 - dense_1_loss_28: 1.1999 - dense_1_loss_29: 1.2094 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5167 - dense_1_acc_3: 0.5000 - dense_1_acc_4: 0.4000 - dense_1_acc_5: 0.4833 - dense_1_acc_6: 0.5333 - dense_1_acc_7: 0.5333 - dense_1_acc_8: 0.5500 - dense_1_acc_9: 0.4833 - dense_1_acc_10: 0.5500 - dense_1_acc_11: 0.4167 - dense_1_acc_12: 0.4333 - dense_1_acc_13: 0.6667 - dense_1_acc_14: 0.4500 - dense_1_acc_15: 0.4167 - dense_1_acc_16: 0.5000 - dense_1_acc_17: 0.4833 - dense_1_acc_18: 0.6333 - dense_1_acc_19: 0.5500 - dense_1_acc_20: 0.4000 - dense_1_acc_21: 0.4833 - dense_1_acc_22: 0.5833 - dense_1_acc_23: 0.6333 - dense_1_acc_24: 0.4667 - dense_1_acc_25: 0.4667 - dense_1_acc_26: 0.5500 - dense_1_acc_27: 0.4833 - dense_1_acc_28: 0.5000 - dense_1_acc_29: 0.5333 - dense_1_acc_30: 0.0167     \n",
      "Epoch 65/100\n",
      "60/60 [==============================] - 0s - loss: 35.3823 - dense_1_loss_1: 3.7598 - dense_1_loss_2: 1.1830 - dense_1_loss_3: 1.1382 - dense_1_loss_4: 1.2653 - dense_1_loss_5: 1.1361 - dense_1_loss_6: 1.1792 - dense_1_loss_7: 0.9702 - dense_1_loss_8: 1.0204 - dense_1_loss_9: 1.2208 - dense_1_loss_10: 1.0269 - dense_1_loss_11: 1.2700 - dense_1_loss_12: 1.1684 - dense_1_loss_13: 0.8547 - dense_1_loss_14: 1.1075 - dense_1_loss_15: 1.2059 - dense_1_loss_16: 1.1339 - dense_1_loss_17: 1.1023 - dense_1_loss_18: 1.0188 - dense_1_loss_19: 1.0561 - dense_1_loss_20: 1.2396 - dense_1_loss_21: 1.0315 - dense_1_loss_22: 1.0547 - dense_1_loss_23: 1.0938 - dense_1_loss_24: 1.1041 - dense_1_loss_25: 1.2434 - dense_1_loss_26: 1.0551 - dense_1_loss_27: 1.3371 - dense_1_loss_28: 1.1983 - dense_1_loss_29: 1.2069 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5333 - dense_1_acc_3: 0.5167 - dense_1_acc_4: 0.4000 - dense_1_acc_5: 0.4667 - dense_1_acc_6: 0.5167 - dense_1_acc_7: 0.5333 - dense_1_acc_8: 0.5667 - dense_1_acc_9: 0.4833 - dense_1_acc_10: 0.5500 - dense_1_acc_11: 0.4000 - dense_1_acc_12: 0.4333 - dense_1_acc_13: 0.7000 - dense_1_acc_14: 0.4500 - dense_1_acc_15: 0.4167 - dense_1_acc_16: 0.5000 - dense_1_acc_17: 0.5000 - dense_1_acc_18: 0.6333 - dense_1_acc_19: 0.5167 - dense_1_acc_20: 0.4000 - dense_1_acc_21: 0.4833 - dense_1_acc_22: 0.5667 - dense_1_acc_23: 0.6167 - dense_1_acc_24: 0.4667 - dense_1_acc_25: 0.5000 - dense_1_acc_26: 0.5667 - dense_1_acc_27: 0.4667 - dense_1_acc_28: 0.5000 - dense_1_acc_29: 0.5333 - dense_1_acc_30: 0.0167     \n",
      "Epoch 66/100\n",
      "60/60 [==============================] - 0s - loss: 35.3525 - dense_1_loss_1: 3.7556 - dense_1_loss_2: 1.1827 - dense_1_loss_3: 1.1367 - dense_1_loss_4: 1.2631 - dense_1_loss_5: 1.1353 - dense_1_loss_6: 1.1781 - dense_1_loss_7: 0.9690 - dense_1_loss_8: 1.0199 - dense_1_loss_9: 1.2197 - dense_1_loss_10: 1.0262 - dense_1_loss_11: 1.2683 - dense_1_loss_12: 1.1679 - dense_1_loss_13: 0.8530 - dense_1_loss_14: 1.1070 - dense_1_loss_15: 1.2047 - dense_1_loss_16: 1.1329 - dense_1_loss_17: 1.1023 - dense_1_loss_18: 1.0198 - dense_1_loss_19: 1.0568 - dense_1_loss_20: 1.2395 - dense_1_loss_21: 1.0305 - dense_1_loss_22: 1.0539 - dense_1_loss_23: 1.0923 - dense_1_loss_24: 1.1037 - dense_1_loss_25: 1.2421 - dense_1_loss_26: 1.0529 - dense_1_loss_27: 1.3348 - dense_1_loss_28: 1.1984 - dense_1_loss_29: 1.2053 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5500 - dense_1_acc_3: 0.5000 - dense_1_acc_4: 0.4167 - dense_1_acc_5: 0.4667 - dense_1_acc_6: 0.5167 - dense_1_acc_7: 0.5500 - dense_1_acc_8: 0.5667 - dense_1_acc_9: 0.4833 - dense_1_acc_10: 0.5667 - dense_1_acc_11: 0.4000 - dense_1_acc_12: 0.4333 - dense_1_acc_13: 0.7000 - dense_1_acc_14: 0.4667 - dense_1_acc_15: 0.4333 - dense_1_acc_16: 0.4833 - dense_1_acc_17: 0.5000 - dense_1_acc_18: 0.6000 - dense_1_acc_19: 0.4833 - dense_1_acc_20: 0.4167 - dense_1_acc_21: 0.5000 - dense_1_acc_22: 0.5500 - dense_1_acc_23: 0.6167 - dense_1_acc_24: 0.4667 - dense_1_acc_25: 0.4833 - dense_1_acc_26: 0.5667 - dense_1_acc_27: 0.4833 - dense_1_acc_28: 0.5000 - dense_1_acc_29: 0.5333 - dense_1_acc_30: 0.0167     \n",
      "Epoch 67/100\n",
      "60/60 [==============================] - 0s - loss: 35.3303 - dense_1_loss_1: 3.7517 - dense_1_loss_2: 1.1819 - dense_1_loss_3: 1.1356 - dense_1_loss_4: 1.2627 - dense_1_loss_5: 1.1353 - dense_1_loss_6: 1.1767 - dense_1_loss_7: 0.9679 - dense_1_loss_8: 1.0180 - dense_1_loss_9: 1.2185 - dense_1_loss_10: 1.0258 - dense_1_loss_11: 1.2683 - dense_1_loss_12: 1.1670 - dense_1_loss_13: 0.8522 - dense_1_loss_14: 1.1076 - dense_1_loss_15: 1.2055 - dense_1_loss_16: 1.1311 - dense_1_loss_17: 1.1023 - dense_1_loss_18: 1.0205 - dense_1_loss_19: 1.0568 - dense_1_loss_20: 1.2394 - dense_1_loss_21: 1.0304 - dense_1_loss_22: 1.0526 - dense_1_loss_23: 1.0910 - dense_1_loss_24: 1.1040 - dense_1_loss_25: 1.2421 - dense_1_loss_26: 1.0507 - dense_1_loss_27: 1.3331 - dense_1_loss_28: 1.1977 - dense_1_loss_29: 1.2036 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5500 - dense_1_acc_3: 0.5000 - dense_1_acc_4: 0.4167 - dense_1_acc_5: 0.4667 - dense_1_acc_6: 0.5167 - dense_1_acc_7: 0.5500 - dense_1_acc_8: 0.5667 - dense_1_acc_9: 0.4833 - dense_1_acc_10: 0.5667 - dense_1_acc_11: 0.4000 - dense_1_acc_12: 0.4333 - dense_1_acc_13: 0.7000 - dense_1_acc_14: 0.4667 - dense_1_acc_15: 0.4333 - dense_1_acc_16: 0.4833 - dense_1_acc_17: 0.5000 - dense_1_acc_18: 0.6000 - dense_1_acc_19: 0.4833 - dense_1_acc_20: 0.4167 - dense_1_acc_21: 0.5000 - dense_1_acc_22: 0.5500 - dense_1_acc_23: 0.6167 - dense_1_acc_24: 0.4667 - dense_1_acc_25: 0.4833 - dense_1_acc_26: 0.5667 - dense_1_acc_27: 0.4833 - dense_1_acc_28: 0.5000 - dense_1_acc_29: 0.5333 - dense_1_acc_30: 0.0167     \n",
      "Epoch 68/100\n",
      "60/60 [==============================] - 0s - loss: 35.3038 - dense_1_loss_1: 3.7479 - dense_1_loss_2: 1.1800 - dense_1_loss_3: 1.1323 - dense_1_loss_4: 1.2620 - dense_1_loss_5: 1.1334 - dense_1_loss_6: 1.1745 - dense_1_loss_7: 0.9660 - dense_1_loss_8: 1.0172 - dense_1_loss_9: 1.2169 - dense_1_loss_10: 1.0259 - dense_1_loss_11: 1.2696 - dense_1_loss_12: 1.1674 - dense_1_loss_13: 0.8511 - dense_1_loss_14: 1.1064 - dense_1_loss_15: 1.2044 - dense_1_loss_16: 1.1299 - dense_1_loss_17: 1.1022 - dense_1_loss_18: 1.0210 - dense_1_loss_19: 1.0561 - dense_1_loss_20: 1.2403 - dense_1_loss_21: 1.0301 - dense_1_loss_22: 1.0523 - dense_1_loss_23: 1.0897 - dense_1_loss_24: 1.1043 - dense_1_loss_25: 1.2416 - dense_1_loss_26: 1.0493 - dense_1_loss_27: 1.3328 - dense_1_loss_28: 1.1971 - dense_1_loss_29: 1.2019 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5500 - dense_1_acc_3: 0.5000 - dense_1_acc_4: 0.4167 - dense_1_acc_5: 0.4667 - dense_1_acc_6: 0.5167 - dense_1_acc_7: 0.5333 - dense_1_acc_8: 0.5500 - dense_1_acc_9: 0.4833 - dense_1_acc_10: 0.5667 - dense_1_acc_11: 0.4000 - dense_1_acc_12: 0.4500 - dense_1_acc_13: 0.7000 - dense_1_acc_14: 0.4667 - dense_1_acc_15: 0.4167 - dense_1_acc_16: 0.4833 - dense_1_acc_17: 0.4833 - dense_1_acc_18: 0.6000 - dense_1_acc_19: 0.5167 - dense_1_acc_20: 0.4167 - dense_1_acc_21: 0.5000 - dense_1_acc_22: 0.5500 - dense_1_acc_23: 0.6167 - dense_1_acc_24: 0.4667 - dense_1_acc_25: 0.5000 - dense_1_acc_26: 0.5667 - dense_1_acc_27: 0.4833 - dense_1_acc_28: 0.5000 - dense_1_acc_29: 0.5333 - dense_1_acc_30: 0.0167     \n",
      "Epoch 69/100\n",
      "60/60 [==============================] - 0s - loss: 35.2956 - dense_1_loss_1: 3.7438 - dense_1_loss_2: 1.1772 - dense_1_loss_3: 1.1316 - dense_1_loss_4: 1.2611 - dense_1_loss_5: 1.1339 - dense_1_loss_6: 1.1715 - dense_1_loss_7: 0.9666 - dense_1_loss_8: 1.0169 - dense_1_loss_9: 1.2181 - dense_1_loss_10: 1.0260 - dense_1_loss_11: 1.2701 - dense_1_loss_12: 1.1694 - dense_1_loss_13: 0.8514 - dense_1_loss_14: 1.1067 - dense_1_loss_15: 1.2070 - dense_1_loss_16: 1.1299 - dense_1_loss_17: 1.1022 - dense_1_loss_18: 1.0221 - dense_1_loss_19: 1.0551 - dense_1_loss_20: 1.2418 - dense_1_loss_21: 1.0302 - dense_1_loss_22: 1.0520 - dense_1_loss_23: 1.0899 - dense_1_loss_24: 1.1048 - dense_1_loss_25: 1.2405 - dense_1_loss_26: 1.0490 - dense_1_loss_27: 1.3316 - dense_1_loss_28: 1.1955 - dense_1_loss_29: 1.1997 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5500 - dense_1_acc_3: 0.5167 - dense_1_acc_4: 0.4000 - dense_1_acc_5: 0.4667 - dense_1_acc_6: 0.5167 - dense_1_acc_7: 0.5333 - dense_1_acc_8: 0.5667 - dense_1_acc_9: 0.4833 - dense_1_acc_10: 0.5500 - dense_1_acc_11: 0.4000 - dense_1_acc_12: 0.4333 - dense_1_acc_13: 0.7000 - dense_1_acc_14: 0.4667 - dense_1_acc_15: 0.4167 - dense_1_acc_16: 0.4833 - dense_1_acc_17: 0.5000 - dense_1_acc_18: 0.6333 - dense_1_acc_19: 0.5167 - dense_1_acc_20: 0.4000 - dense_1_acc_21: 0.5000 - dense_1_acc_22: 0.5667 - dense_1_acc_23: 0.6000 - dense_1_acc_24: 0.4667 - dense_1_acc_25: 0.4833 - dense_1_acc_26: 0.5667 - dense_1_acc_27: 0.4833 - dense_1_acc_28: 0.5000 - dense_1_acc_29: 0.5333 - dense_1_acc_30: 0.0167     \n",
      "Epoch 70/100\n",
      "60/60 [==============================] - 0s - loss: 35.2518 - dense_1_loss_1: 3.7405 - dense_1_loss_2: 1.1750 - dense_1_loss_3: 1.1310 - dense_1_loss_4: 1.2608 - dense_1_loss_5: 1.1344 - dense_1_loss_6: 1.1687 - dense_1_loss_7: 0.9651 - dense_1_loss_8: 1.0158 - dense_1_loss_9: 1.2160 - dense_1_loss_10: 1.0252 - dense_1_loss_11: 1.2685 - dense_1_loss_12: 1.1690 - dense_1_loss_13: 0.8493 - dense_1_loss_14: 1.1036 - dense_1_loss_15: 1.2077 - dense_1_loss_16: 1.1301 - dense_1_loss_17: 1.1005 - dense_1_loss_18: 1.0209 - dense_1_loss_19: 1.0533 - dense_1_loss_20: 1.2402 - dense_1_loss_21: 1.0291 - dense_1_loss_22: 1.0511 - dense_1_loss_23: 1.0886 - dense_1_loss_24: 1.1032 - dense_1_loss_25: 1.2378 - dense_1_loss_26: 1.0478 - dense_1_loss_27: 1.3298 - dense_1_loss_28: 1.1920 - dense_1_loss_29: 1.1967 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5167 - dense_1_acc_3: 0.4833 - dense_1_acc_4: 0.4167 - dense_1_acc_5: 0.4833 - dense_1_acc_6: 0.5500 - dense_1_acc_7: 0.5333 - dense_1_acc_8: 0.5500 - dense_1_acc_9: 0.5000 - dense_1_acc_10: 0.5500 - dense_1_acc_11: 0.4000 - dense_1_acc_12: 0.4500 - dense_1_acc_13: 0.6667 - dense_1_acc_14: 0.4667 - dense_1_acc_15: 0.4500 - dense_1_acc_16: 0.4833 - dense_1_acc_17: 0.4833 - dense_1_acc_18: 0.6167 - dense_1_acc_19: 0.5333 - dense_1_acc_20: 0.3833 - dense_1_acc_21: 0.5167 - dense_1_acc_22: 0.6000 - dense_1_acc_23: 0.5833 - dense_1_acc_24: 0.4500 - dense_1_acc_25: 0.4833 - dense_1_acc_26: 0.5500 - dense_1_acc_27: 0.4667 - dense_1_acc_28: 0.5167 - dense_1_acc_29: 0.5500 - dense_1_acc_30: 0.0167         \n",
      "Epoch 71/100\n",
      "60/60 [==============================] - 0s - loss: 35.2259 - dense_1_loss_1: 3.7372 - dense_1_loss_2: 1.1748 - dense_1_loss_3: 1.1295 - dense_1_loss_4: 1.2599 - dense_1_loss_5: 1.1336 - dense_1_loss_6: 1.1668 - dense_1_loss_7: 0.9644 - dense_1_loss_8: 1.0149 - dense_1_loss_9: 1.2146 - dense_1_loss_10: 1.0251 - dense_1_loss_11: 1.2683 - dense_1_loss_12: 1.1687 - dense_1_loss_13: 0.8489 - dense_1_loss_14: 1.1025 - dense_1_loss_15: 1.2060 - dense_1_loss_16: 1.1297 - dense_1_loss_17: 1.0998 - dense_1_loss_18: 1.0207 - dense_1_loss_19: 1.0522 - dense_1_loss_20: 1.2392 - dense_1_loss_21: 1.0293 - dense_1_loss_22: 1.0501 - dense_1_loss_23: 1.0887 - dense_1_loss_24: 1.1032 - dense_1_loss_25: 1.2376 - dense_1_loss_26: 1.0464 - dense_1_loss_27: 1.3296 - dense_1_loss_28: 1.1901 - dense_1_loss_29: 1.1942 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5167 - dense_1_acc_3: 0.4833 - dense_1_acc_4: 0.4167 - dense_1_acc_5: 0.4833 - dense_1_acc_6: 0.5500 - dense_1_acc_7: 0.5333 - dense_1_acc_8: 0.5500 - dense_1_acc_9: 0.5000 - dense_1_acc_10: 0.5500 - dense_1_acc_11: 0.4000 - dense_1_acc_12: 0.4500 - dense_1_acc_13: 0.6667 - dense_1_acc_14: 0.4667 - dense_1_acc_15: 0.4500 - dense_1_acc_16: 0.4833 - dense_1_acc_17: 0.4833 - dense_1_acc_18: 0.6167 - dense_1_acc_19: 0.5333 - dense_1_acc_20: 0.3833 - dense_1_acc_21: 0.5167 - dense_1_acc_22: 0.6000 - dense_1_acc_23: 0.5833 - dense_1_acc_24: 0.4500 - dense_1_acc_25: 0.4833 - dense_1_acc_26: 0.5500 - dense_1_acc_27: 0.4667 - dense_1_acc_28: 0.5167 - dense_1_acc_29: 0.5500 - dense_1_acc_30: 0.0167         \n",
      "Epoch 72/100\n",
      "60/60 [==============================] - 0s - loss: 35.2040 - dense_1_loss_1: 3.7336 - dense_1_loss_2: 1.1744 - dense_1_loss_3: 1.1279 - dense_1_loss_4: 1.2580 - dense_1_loss_5: 1.1316 - dense_1_loss_6: 1.1645 - dense_1_loss_7: 0.9621 - dense_1_loss_8: 1.0147 - dense_1_loss_9: 1.2134 - dense_1_loss_10: 1.0236 - dense_1_loss_11: 1.2697 - dense_1_loss_12: 1.1684 - dense_1_loss_13: 0.8493 - dense_1_loss_14: 1.1025 - dense_1_loss_15: 1.2062 - dense_1_loss_16: 1.1293 - dense_1_loss_17: 1.0997 - dense_1_loss_18: 1.0208 - dense_1_loss_19: 1.0524 - dense_1_loss_20: 1.2394 - dense_1_loss_21: 1.0298 - dense_1_loss_22: 1.0495 - dense_1_loss_23: 1.0883 - dense_1_loss_24: 1.1021 - dense_1_loss_25: 1.2379 - dense_1_loss_26: 1.0444 - dense_1_loss_27: 1.3295 - dense_1_loss_28: 1.1887 - dense_1_loss_29: 1.1923 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5167 - dense_1_acc_3: 0.4833 - dense_1_acc_4: 0.4167 - dense_1_acc_5: 0.4833 - dense_1_acc_6: 0.5667 - dense_1_acc_7: 0.5333 - dense_1_acc_8: 0.5500 - dense_1_acc_9: 0.4833 - dense_1_acc_10: 0.5667 - dense_1_acc_11: 0.4167 - dense_1_acc_12: 0.4500 - dense_1_acc_13: 0.6667 - dense_1_acc_14: 0.4667 - dense_1_acc_15: 0.4500 - dense_1_acc_16: 0.4667 - dense_1_acc_17: 0.4833 - dense_1_acc_18: 0.6000 - dense_1_acc_19: 0.5333 - dense_1_acc_20: 0.3667 - dense_1_acc_21: 0.5167 - dense_1_acc_22: 0.6000 - dense_1_acc_23: 0.5833 - dense_1_acc_24: 0.4500 - dense_1_acc_25: 0.4667 - dense_1_acc_26: 0.5500 - dense_1_acc_27: 0.4500 - dense_1_acc_28: 0.5167 - dense_1_acc_29: 0.5500 - dense_1_acc_30: 0.0167     \n",
      "Epoch 73/100\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "60/60 [==============================] - 0s - loss: 35.1938 - dense_1_loss_1: 3.7298 - dense_1_loss_2: 1.1737 - dense_1_loss_3: 1.1269 - dense_1_loss_4: 1.2561 - dense_1_loss_5: 1.1299 - dense_1_loss_6: 1.1633 - dense_1_loss_7: 0.9594 - dense_1_loss_8: 1.0148 - dense_1_loss_9: 1.2134 - dense_1_loss_10: 1.0230 - dense_1_loss_11: 1.2702 - dense_1_loss_12: 1.1678 - dense_1_loss_13: 0.8502 - dense_1_loss_14: 1.1031 - dense_1_loss_15: 1.2050 - dense_1_loss_16: 1.1290 - dense_1_loss_17: 1.0998 - dense_1_loss_18: 1.0218 - dense_1_loss_19: 1.0521 - dense_1_loss_20: 1.2396 - dense_1_loss_21: 1.0298 - dense_1_loss_22: 1.0507 - dense_1_loss_23: 1.0890 - dense_1_loss_24: 1.1027 - dense_1_loss_25: 1.2394 - dense_1_loss_26: 1.0435 - dense_1_loss_27: 1.3294 - dense_1_loss_28: 1.1900 - dense_1_loss_29: 1.1904 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5333 - dense_1_acc_3: 0.4833 - dense_1_acc_4: 0.4500 - dense_1_acc_5: 0.4833 - dense_1_acc_6: 0.5500 - dense_1_acc_7: 0.5667 - dense_1_acc_8: 0.5833 - dense_1_acc_9: 0.4833 - dense_1_acc_10: 0.6000 - dense_1_acc_11: 0.4167 - dense_1_acc_12: 0.4333 - dense_1_acc_13: 0.6667 - dense_1_acc_14: 0.4833 - dense_1_acc_15: 0.4500 - dense_1_acc_16: 0.4667 - dense_1_acc_17: 0.5167 - dense_1_acc_18: 0.5667 - dense_1_acc_19: 0.4833 - dense_1_acc_20: 0.3500 - dense_1_acc_21: 0.5167 - dense_1_acc_22: 0.5500 - dense_1_acc_23: 0.6167 - dense_1_acc_24: 0.4667 - dense_1_acc_25: 0.4667 - dense_1_acc_26: 0.5667 - dense_1_acc_27: 0.4500 - dense_1_acc_28: 0.4833 - dense_1_acc_29: 0.5500 - dense_1_acc_30: 0.0167     \n",
      "Epoch 74/100\n",
      "60/60 [==============================] - 0s - loss: 35.1695 - dense_1_loss_1: 3.7261 - dense_1_loss_2: 1.1721 - dense_1_loss_3: 1.1252 - dense_1_loss_4: 1.2530 - dense_1_loss_5: 1.1293 - dense_1_loss_6: 1.1604 - dense_1_loss_7: 0.9572 - dense_1_loss_8: 1.0136 - dense_1_loss_9: 1.2115 - dense_1_loss_10: 1.0216 - dense_1_loss_11: 1.2702 - dense_1_loss_12: 1.1671 - dense_1_loss_13: 0.8503 - dense_1_loss_14: 1.1022 - dense_1_loss_15: 1.2036 - dense_1_loss_16: 1.1291 - dense_1_loss_17: 1.0997 - dense_1_loss_18: 1.0218 - dense_1_loss_19: 1.0522 - dense_1_loss_20: 1.2391 - dense_1_loss_21: 1.0302 - dense_1_loss_22: 1.0504 - dense_1_loss_23: 1.0899 - dense_1_loss_24: 1.1026 - dense_1_loss_25: 1.2401 - dense_1_loss_26: 1.0420 - dense_1_loss_27: 1.3293 - dense_1_loss_28: 1.1911 - dense_1_loss_29: 1.1887 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5167 - dense_1_acc_3: 0.4500 - dense_1_acc_4: 0.4500 - dense_1_acc_5: 0.4667 - dense_1_acc_6: 0.5333 - dense_1_acc_7: 0.5667 - dense_1_acc_8: 0.5833 - dense_1_acc_9: 0.4667 - dense_1_acc_10: 0.6167 - dense_1_acc_11: 0.4167 - dense_1_acc_12: 0.4333 - dense_1_acc_13: 0.6833 - dense_1_acc_14: 0.5167 - dense_1_acc_15: 0.4500 - dense_1_acc_16: 0.4667 - dense_1_acc_17: 0.5000 - dense_1_acc_18: 0.5667 - dense_1_acc_19: 0.5167 - dense_1_acc_20: 0.3667 - dense_1_acc_21: 0.5167 - dense_1_acc_22: 0.5833 - dense_1_acc_23: 0.6000 - dense_1_acc_24: 0.4833 - dense_1_acc_25: 0.4167 - dense_1_acc_26: 0.5667 - dense_1_acc_27: 0.4500 - dense_1_acc_28: 0.4833 - dense_1_acc_29: 0.5667 - dense_1_acc_30: 0.0167     \n",
      "Epoch 75/100\n",
      "60/60 [==============================] - 0s - loss: 35.1441 - dense_1_loss_1: 3.7225 - dense_1_loss_2: 1.1712 - dense_1_loss_3: 1.1237 - dense_1_loss_4: 1.2518 - dense_1_loss_5: 1.1285 - dense_1_loss_6: 1.1588 - dense_1_loss_7: 0.9565 - dense_1_loss_8: 1.0132 - dense_1_loss_9: 1.2106 - dense_1_loss_10: 1.0212 - dense_1_loss_11: 1.2682 - dense_1_loss_12: 1.1660 - dense_1_loss_13: 0.8498 - dense_1_loss_14: 1.1019 - dense_1_loss_15: 1.2035 - dense_1_loss_16: 1.1284 - dense_1_loss_17: 1.0987 - dense_1_loss_18: 1.0206 - dense_1_loss_19: 1.0514 - dense_1_loss_20: 1.2376 - dense_1_loss_21: 1.0297 - dense_1_loss_22: 1.0508 - dense_1_loss_23: 1.0908 - dense_1_loss_24: 1.1012 - dense_1_loss_25: 1.2389 - dense_1_loss_26: 1.0416 - dense_1_loss_27: 1.3287 - dense_1_loss_28: 1.1907 - dense_1_loss_29: 1.1874 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5167 - dense_1_acc_3: 0.4500 - dense_1_acc_4: 0.4500 - dense_1_acc_5: 0.4667 - dense_1_acc_6: 0.5333 - dense_1_acc_7: 0.5833 - dense_1_acc_8: 0.5833 - dense_1_acc_9: 0.4667 - dense_1_acc_10: 0.6167 - dense_1_acc_11: 0.4333 - dense_1_acc_12: 0.4333 - dense_1_acc_13: 0.6667 - dense_1_acc_14: 0.4833 - dense_1_acc_15: 0.4500 - dense_1_acc_16: 0.4667 - dense_1_acc_17: 0.5000 - dense_1_acc_18: 0.5833 - dense_1_acc_19: 0.4833 - dense_1_acc_20: 0.3667 - dense_1_acc_21: 0.5167 - dense_1_acc_22: 0.5500 - dense_1_acc_23: 0.6000 - dense_1_acc_24: 0.4833 - dense_1_acc_25: 0.4167 - dense_1_acc_26: 0.5667 - dense_1_acc_27: 0.4500 - dense_1_acc_28: 0.5000 - dense_1_acc_29: 0.5500 - dense_1_acc_30: 0.0167         \n",
      "Epoch 76/100\n",
      "60/60 [==============================] - 0s - loss: 35.1305 - dense_1_loss_1: 3.7194 - dense_1_loss_2: 1.1726 - dense_1_loss_3: 1.1217 - dense_1_loss_4: 1.2502 - dense_1_loss_5: 1.1282 - dense_1_loss_6: 1.1569 - dense_1_loss_7: 0.9564 - dense_1_loss_8: 1.0142 - dense_1_loss_9: 1.2107 - dense_1_loss_10: 1.0224 - dense_1_loss_11: 1.2682 - dense_1_loss_12: 1.1657 - dense_1_loss_13: 0.8520 - dense_1_loss_14: 1.1017 - dense_1_loss_15: 1.2030 - dense_1_loss_16: 1.1287 - dense_1_loss_17: 1.0985 - dense_1_loss_18: 1.0193 - dense_1_loss_19: 1.0510 - dense_1_loss_20: 1.2363 - dense_1_loss_21: 1.0293 - dense_1_loss_22: 1.0500 - dense_1_loss_23: 1.0920 - dense_1_loss_24: 1.0993 - dense_1_loss_25: 1.2379 - dense_1_loss_26: 1.0406 - dense_1_loss_27: 1.3299 - dense_1_loss_28: 1.1901 - dense_1_loss_29: 1.1844 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5167 - dense_1_acc_3: 0.4500 - dense_1_acc_4: 0.4333 - dense_1_acc_5: 0.4667 - dense_1_acc_6: 0.5167 - dense_1_acc_7: 0.5667 - dense_1_acc_8: 0.6000 - dense_1_acc_9: 0.4667 - dense_1_acc_10: 0.6000 - dense_1_acc_11: 0.4167 - dense_1_acc_12: 0.4333 - dense_1_acc_13: 0.6667 - dense_1_acc_14: 0.4833 - dense_1_acc_15: 0.4333 - dense_1_acc_16: 0.4833 - dense_1_acc_17: 0.4833 - dense_1_acc_18: 0.5667 - dense_1_acc_19: 0.4833 - dense_1_acc_20: 0.3833 - dense_1_acc_21: 0.5000 - dense_1_acc_22: 0.5667 - dense_1_acc_23: 0.5833 - dense_1_acc_24: 0.4667 - dense_1_acc_25: 0.4000 - dense_1_acc_26: 0.5667 - dense_1_acc_27: 0.4667 - dense_1_acc_28: 0.5000 - dense_1_acc_29: 0.5500 - dense_1_acc_30: 0.0167     \n",
      "Epoch 77/100\n",
      "60/60 [==============================] - 0s - loss: 35.1216 - dense_1_loss_1: 3.7162 - dense_1_loss_2: 1.1736 - dense_1_loss_3: 1.1197 - dense_1_loss_4: 1.2487 - dense_1_loss_5: 1.1272 - dense_1_loss_6: 1.1564 - dense_1_loss_7: 0.9557 - dense_1_loss_8: 1.0149 - dense_1_loss_9: 1.2094 - dense_1_loss_10: 1.0222 - dense_1_loss_11: 1.2671 - dense_1_loss_12: 1.1649 - dense_1_loss_13: 0.8534 - dense_1_loss_14: 1.1024 - dense_1_loss_15: 1.2026 - dense_1_loss_16: 1.1290 - dense_1_loss_17: 1.0988 - dense_1_loss_18: 1.0185 - dense_1_loss_19: 1.0506 - dense_1_loss_20: 1.2361 - dense_1_loss_21: 1.0294 - dense_1_loss_22: 1.0487 - dense_1_loss_23: 1.0928 - dense_1_loss_24: 1.0982 - dense_1_loss_25: 1.2379 - dense_1_loss_26: 1.0401 - dense_1_loss_27: 1.3309 - dense_1_loss_28: 1.1921 - dense_1_loss_29: 1.1841 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5333 - dense_1_acc_3: 0.4667 - dense_1_acc_4: 0.4167 - dense_1_acc_5: 0.4500 - dense_1_acc_6: 0.5000 - dense_1_acc_7: 0.5500 - dense_1_acc_8: 0.5667 - dense_1_acc_9: 0.4667 - dense_1_acc_10: 0.5833 - dense_1_acc_11: 0.4000 - dense_1_acc_12: 0.4333 - dense_1_acc_13: 0.7167 - dense_1_acc_14: 0.5000 - dense_1_acc_15: 0.4333 - dense_1_acc_16: 0.4833 - dense_1_acc_17: 0.4833 - dense_1_acc_18: 0.6000 - dense_1_acc_19: 0.5167 - dense_1_acc_20: 0.4333 - dense_1_acc_21: 0.5000 - dense_1_acc_22: 0.5833 - dense_1_acc_23: 0.6000 - dense_1_acc_24: 0.4833 - dense_1_acc_25: 0.4333 - dense_1_acc_26: 0.5667 - dense_1_acc_27: 0.4833 - dense_1_acc_28: 0.5000 - dense_1_acc_29: 0.5500 - dense_1_acc_30: 0.0167         \n",
      "Epoch 78/100\n",
      "60/60 [==============================] - 0s - loss: 35.0864 - dense_1_loss_1: 3.7122 - dense_1_loss_2: 1.1723 - dense_1_loss_3: 1.1166 - dense_1_loss_4: 1.2450 - dense_1_loss_5: 1.1262 - dense_1_loss_6: 1.1541 - dense_1_loss_7: 0.9527 - dense_1_loss_8: 1.0141 - dense_1_loss_9: 1.2080 - dense_1_loss_10: 1.0216 - dense_1_loss_11: 1.2661 - dense_1_loss_12: 1.1617 - dense_1_loss_13: 0.8536 - dense_1_loss_14: 1.1017 - dense_1_loss_15: 1.1996 - dense_1_loss_16: 1.1273 - dense_1_loss_17: 1.0977 - dense_1_loss_18: 1.0169 - dense_1_loss_19: 1.0499 - dense_1_loss_20: 1.2351 - dense_1_loss_21: 1.0296 - dense_1_loss_22: 1.0496 - dense_1_loss_23: 1.0931 - dense_1_loss_24: 1.0970 - dense_1_loss_25: 1.2379 - dense_1_loss_26: 1.0393 - dense_1_loss_27: 1.3316 - dense_1_loss_28: 1.1924 - dense_1_loss_29: 1.1836 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5333 - dense_1_acc_3: 0.4667 - dense_1_acc_4: 0.4167 - dense_1_acc_5: 0.4500 - dense_1_acc_6: 0.5000 - dense_1_acc_7: 0.5500 - dense_1_acc_8: 0.5667 - dense_1_acc_9: 0.4667 - dense_1_acc_10: 0.5833 - dense_1_acc_11: 0.4000 - dense_1_acc_12: 0.4333 - dense_1_acc_13: 0.7167 - dense_1_acc_14: 0.5000 - dense_1_acc_15: 0.4333 - dense_1_acc_16: 0.4833 - dense_1_acc_17: 0.4833 - dense_1_acc_18: 0.6000 - dense_1_acc_19: 0.5167 - dense_1_acc_20: 0.4333 - dense_1_acc_21: 0.5000 - dense_1_acc_22: 0.5833 - dense_1_acc_23: 0.6000 - dense_1_acc_24: 0.4833 - dense_1_acc_25: 0.4333 - dense_1_acc_26: 0.5667 - dense_1_acc_27: 0.4833 - dense_1_acc_28: 0.5000 - dense_1_acc_29: 0.5500 - dense_1_acc_30: 0.0167     \n",
      "Epoch 79/100\n",
      "60/60 [==============================] - ETA: 0s - loss: 35.5269 - dense_1_loss_1: 3.7206 - dense_1_loss_2: 1.0574 - dense_1_loss_3: 0.8102 - dense_1_loss_4: 1.2663 - dense_1_loss_5: 1.0595 - dense_1_loss_6: 1.2134 - dense_1_loss_7: 0.9674 - dense_1_loss_8: 1.2142 - dense_1_loss_9: 1.3826 - dense_1_loss_10: 1.0561 - dense_1_loss_11: 1.3729 - dense_1_loss_12: 1.1160 - dense_1_loss_13: 0.8533 - dense_1_loss_14: 1.0064 - dense_1_loss_15: 1.2373 - dense_1_loss_16: 1.2119 - dense_1_loss_17: 1.0975 - dense_1_loss_18: 1.0714 - dense_1_loss_19: 1.0687 - dense_1_loss_20: 1.2370 - dense_1_loss_21: 1.1006 - dense_1_loss_22: 0.8823 - dense_1_loss_23: 1.1772 - dense_1_loss_24: 0.9997 - dense_1_loss_25: 1.3786 - dense_1_loss_26: 1.0890 - dense_1_loss_27: 1.5060 - dense_1_loss_28: 1.2238 - dense_1_loss_29: 1.1497 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1250 - dense_1_acc_2: 0.5625 - dense_1_acc_3: 0.5312 - dense_1_acc_4: 0.4062 - dense_1_acc_5: 0.4375 - dense_1_acc_6: 0.4688 - dense_1_acc_7: 0.5625 - dense_1_acc_8: 0.4688 - dense_1_acc_9: 0.3750 - dense_1_acc_10: 0.5312 - dense_1_acc_11: 0.3125 - dense_1_acc_12: 0.3438 - dense_1_acc_13: 0.6875 - dense_1_acc_14: 0.5312 - dense_1_acc_15: 0.4688 - dense_1_acc_16: 0.5000 - dense_1_acc_17: 0.4688 - dense_1_acc_18: 0.5938 - dense_1_acc_19: 0.5312 - dense_1_acc_20: 0.4688 - dense_1_acc_21: 0.4688 - dense_1_acc_22: 0.6250 - dense_1_acc_23: 0.5625 - dense_1_acc_24: 0.5625 - dense_1_acc_25: 0.4062 - dense_1_acc_26: 0.5312 - dense_1_acc_27: 0.4688 - dense_1_acc_28: 0.5312 - dense_1_acc_29: 0.6250 - dense_1_acc_30: 0.03 - 0s - loss: 35.0737 - dense_1_loss_1: 3.7094 - dense_1_loss_2: 1.1720 - dense_1_loss_3: 1.1145 - dense_1_loss_4: 1.2442 - dense_1_loss_5: 1.1269 - dense_1_loss_6: 1.1521 - dense_1_loss_7: 0.9525 - dense_1_loss_8: 1.0136 - dense_1_loss_9: 1.2067 - dense_1_loss_10: 1.0226 - dense_1_loss_11: 1.2656 - dense_1_loss_12: 1.1612 - dense_1_loss_13: 0.8524 - dense_1_loss_14: 1.1016 - dense_1_loss_15: 1.1989 - dense_1_loss_16: 1.1274 - dense_1_loss_17: 1.0970 - dense_1_loss_18: 1.0161 - dense_1_loss_19: 1.0501 - dense_1_loss_20: 1.2355 - dense_1_loss_21: 1.0292 - dense_1_loss_22: 1.0497 - dense_1_loss_23: 1.0926 - dense_1_loss_24: 1.0979 - dense_1_loss_25: 1.2378 - dense_1_loss_26: 1.0386 - dense_1_loss_27: 1.3312 - dense_1_loss_28: 1.1942 - dense_1_loss_29: 1.1820 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5333 - dense_1_acc_3: 0.4667 - dense_1_acc_4: 0.4167 - dense_1_acc_5: 0.4500 - dense_1_acc_6: 0.5000 - dense_1_acc_7: 0.5500 - dense_1_acc_8: 0.5667 - dense_1_acc_9: 0.4833 - dense_1_acc_10: 0.5833 - dense_1_acc_11: 0.4000 - dense_1_acc_12: 0.4333 - dense_1_acc_13: 0.7167 - dense_1_acc_14: 0.4833 - dense_1_acc_15: 0.4333 - dense_1_acc_16: 0.4833 - dense_1_acc_17: 0.4833 - dense_1_acc_18: 0.6000 - dense_1_acc_19: 0.5167 - dense_1_acc_20: 0.4333 - dense_1_acc_21: 0.5000 - dense_1_acc_22: 0.5667 - dense_1_acc_23: 0.6000 - dense_1_acc_24: 0.4667 - dense_1_acc_25: 0.4500 - dense_1_acc_26: 0.5667 - dense_1_acc_27: 0.4833 - dense_1_acc_28: 0.5000 - dense_1_acc_29: 0.5500 - dense_1_acc_30: 0.0167     \n",
      "Epoch 80/100\n",
      "60/60 [==============================] - 0s - loss: 35.0683 - dense_1_loss_1: 3.7059 - dense_1_loss_2: 1.1716 - dense_1_loss_3: 1.1130 - dense_1_loss_4: 1.2454 - dense_1_loss_5: 1.1267 - dense_1_loss_6: 1.1517 - dense_1_loss_7: 0.9512 - dense_1_loss_8: 1.0128 - dense_1_loss_9: 1.2069 - dense_1_loss_10: 1.0223 - dense_1_loss_11: 1.2667 - dense_1_loss_12: 1.1607 - dense_1_loss_13: 0.8520 - dense_1_loss_14: 1.1007 - dense_1_loss_15: 1.1982 - dense_1_loss_16: 1.1263 - dense_1_loss_17: 1.0969 - dense_1_loss_18: 1.0160 - dense_1_loss_19: 1.0512 - dense_1_loss_20: 1.2365 - dense_1_loss_21: 1.0293 - dense_1_loss_22: 1.0500 - dense_1_loss_23: 1.0922 - dense_1_loss_24: 1.1007 - dense_1_loss_25: 1.2386 - dense_1_loss_26: 1.0383 - dense_1_loss_27: 1.3288 - dense_1_loss_28: 1.1953 - dense_1_loss_29: 1.1824 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5500 - dense_1_acc_3: 0.5000 - dense_1_acc_4: 0.4000 - dense_1_acc_5: 0.4667 - dense_1_acc_6: 0.5167 - dense_1_acc_7: 0.5333 - dense_1_acc_8: 0.5833 - dense_1_acc_9: 0.4833 - dense_1_acc_10: 0.5667 - dense_1_acc_11: 0.4000 - dense_1_acc_12: 0.4333 - dense_1_acc_13: 0.7000 - dense_1_acc_14: 0.4500 - dense_1_acc_15: 0.4333 - dense_1_acc_16: 0.4833 - dense_1_acc_17: 0.5000 - dense_1_acc_18: 0.6167 - dense_1_acc_19: 0.5000 - dense_1_acc_20: 0.4167 - dense_1_acc_21: 0.4833 - dense_1_acc_22: 0.5500 - dense_1_acc_23: 0.6167 - dense_1_acc_24: 0.4667 - dense_1_acc_25: 0.4833 - dense_1_acc_26: 0.5667 - dense_1_acc_27: 0.4833 - dense_1_acc_28: 0.5000 - dense_1_acc_29: 0.5333 - dense_1_acc_30: 0.0167     \n",
      "Epoch 81/100\n",
      "60/60 [==============================] - 0s - loss: 35.0417 - dense_1_loss_1: 3.7025 - dense_1_loss_2: 1.1698 - dense_1_loss_3: 1.1111 - dense_1_loss_4: 1.2460 - dense_1_loss_5: 1.1275 - dense_1_loss_6: 1.1488 - dense_1_loss_7: 0.9511 - dense_1_loss_8: 1.0121 - dense_1_loss_9: 1.2075 - dense_1_loss_10: 1.0231 - dense_1_loss_11: 1.2654 - dense_1_loss_12: 1.1613 - dense_1_loss_13: 0.8496 - dense_1_loss_14: 1.0983 - dense_1_loss_15: 1.1975 - dense_1_loss_16: 1.1257 - dense_1_loss_17: 1.0953 - dense_1_loss_18: 1.0148 - dense_1_loss_19: 1.0509 - dense_1_loss_20: 1.2364 - dense_1_loss_21: 1.0286 - dense_1_loss_22: 1.0492 - dense_1_loss_23: 1.0906 - dense_1_loss_24: 1.1009 - dense_1_loss_25: 1.2367 - dense_1_loss_26: 1.0379 - dense_1_loss_27: 1.3273 - dense_1_loss_28: 1.1942 - dense_1_loss_29: 1.1816 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5333 - dense_1_acc_3: 0.5167 - dense_1_acc_4: 0.4000 - dense_1_acc_5: 0.4667 - dense_1_acc_6: 0.5333 - dense_1_acc_7: 0.5333 - dense_1_acc_8: 0.5500 - dense_1_acc_9: 0.4833 - dense_1_acc_10: 0.5500 - dense_1_acc_11: 0.4167 - dense_1_acc_12: 0.4333 - dense_1_acc_13: 0.6833 - dense_1_acc_14: 0.4667 - dense_1_acc_15: 0.4333 - dense_1_acc_16: 0.4833 - dense_1_acc_17: 0.4833 - dense_1_acc_18: 0.6333 - dense_1_acc_19: 0.5167 - dense_1_acc_20: 0.4000 - dense_1_acc_21: 0.5167 - dense_1_acc_22: 0.6000 - dense_1_acc_23: 0.5833 - dense_1_acc_24: 0.4500 - dense_1_acc_25: 0.5000 - dense_1_acc_26: 0.5500 - dense_1_acc_27: 0.4667 - dense_1_acc_28: 0.5167 - dense_1_acc_29: 0.5333 - dense_1_acc_30: 0.0167         \n",
      "Epoch 82/100\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "60/60 [==============================] - 0s - loss: 35.0272 - dense_1_loss_1: 3.6995 - dense_1_loss_2: 1.1687 - dense_1_loss_3: 1.1102 - dense_1_loss_4: 1.2462 - dense_1_loss_5: 1.1273 - dense_1_loss_6: 1.1476 - dense_1_loss_7: 0.9511 - dense_1_loss_8: 1.0113 - dense_1_loss_9: 1.2067 - dense_1_loss_10: 1.0230 - dense_1_loss_11: 1.2648 - dense_1_loss_12: 1.1621 - dense_1_loss_13: 0.8490 - dense_1_loss_14: 1.0973 - dense_1_loss_15: 1.1980 - dense_1_loss_16: 1.1258 - dense_1_loss_17: 1.0952 - dense_1_loss_18: 1.0141 - dense_1_loss_19: 1.0506 - dense_1_loss_20: 1.2359 - dense_1_loss_21: 1.0281 - dense_1_loss_22: 1.0488 - dense_1_loss_23: 1.0896 - dense_1_loss_24: 1.1017 - dense_1_loss_25: 1.2360 - dense_1_loss_26: 1.0384 - dense_1_loss_27: 1.3267 - dense_1_loss_28: 1.1930 - dense_1_loss_29: 1.1803 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5333 - dense_1_acc_3: 0.5167 - dense_1_acc_4: 0.4000 - dense_1_acc_5: 0.4667 - dense_1_acc_6: 0.5333 - dense_1_acc_7: 0.5333 - dense_1_acc_8: 0.5500 - dense_1_acc_9: 0.4833 - dense_1_acc_10: 0.5500 - dense_1_acc_11: 0.4167 - dense_1_acc_12: 0.4333 - dense_1_acc_13: 0.6833 - dense_1_acc_14: 0.4667 - dense_1_acc_15: 0.4333 - dense_1_acc_16: 0.4833 - dense_1_acc_17: 0.4833 - dense_1_acc_18: 0.6333 - dense_1_acc_19: 0.5167 - dense_1_acc_20: 0.4000 - dense_1_acc_21: 0.5167 - dense_1_acc_22: 0.6000 - dense_1_acc_23: 0.5833 - dense_1_acc_24: 0.4500 - dense_1_acc_25: 0.5000 - dense_1_acc_26: 0.5500 - dense_1_acc_27: 0.4667 - dense_1_acc_28: 0.5167 - dense_1_acc_29: 0.5333 - dense_1_acc_30: 0.0167     \n",
      "Epoch 83/100\n",
      "60/60 [==============================] - 0s - loss: 35.0015 - dense_1_loss_1: 3.6958 - dense_1_loss_2: 1.1666 - dense_1_loss_3: 1.1088 - dense_1_loss_4: 1.2450 - dense_1_loss_5: 1.1272 - dense_1_loss_6: 1.1457 - dense_1_loss_7: 0.9488 - dense_1_loss_8: 1.0094 - dense_1_loss_9: 1.2066 - dense_1_loss_10: 1.0214 - dense_1_loss_11: 1.2646 - dense_1_loss_12: 1.1622 - dense_1_loss_13: 0.8484 - dense_1_loss_14: 1.0973 - dense_1_loss_15: 1.1981 - dense_1_loss_16: 1.1251 - dense_1_loss_17: 1.0947 - dense_1_loss_18: 1.0147 - dense_1_loss_19: 1.0508 - dense_1_loss_20: 1.2363 - dense_1_loss_21: 1.0273 - dense_1_loss_22: 1.0481 - dense_1_loss_23: 1.0878 - dense_1_loss_24: 1.1015 - dense_1_loss_25: 1.2349 - dense_1_loss_26: 1.0383 - dense_1_loss_27: 1.3257 - dense_1_loss_28: 1.1913 - dense_1_loss_29: 1.1790 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5333 - dense_1_acc_3: 0.5167 - dense_1_acc_4: 0.4000 - dense_1_acc_5: 0.4667 - dense_1_acc_6: 0.5333 - dense_1_acc_7: 0.5333 - dense_1_acc_8: 0.5500 - dense_1_acc_9: 0.4833 - dense_1_acc_10: 0.5500 - dense_1_acc_11: 0.4167 - dense_1_acc_12: 0.4333 - dense_1_acc_13: 0.6833 - dense_1_acc_14: 0.4667 - dense_1_acc_15: 0.4333 - dense_1_acc_16: 0.4833 - dense_1_acc_17: 0.4833 - dense_1_acc_18: 0.6333 - dense_1_acc_19: 0.5167 - dense_1_acc_20: 0.4000 - dense_1_acc_21: 0.5167 - dense_1_acc_22: 0.6000 - dense_1_acc_23: 0.5833 - dense_1_acc_24: 0.4500 - dense_1_acc_25: 0.5000 - dense_1_acc_26: 0.5500 - dense_1_acc_27: 0.4667 - dense_1_acc_28: 0.5167 - dense_1_acc_29: 0.5333 - dense_1_acc_30: 0.0167         \n",
      "Epoch 84/100\n",
      "60/60 [==============================] - 0s - loss: 34.9888 - dense_1_loss_1: 3.6928 - dense_1_loss_2: 1.1658 - dense_1_loss_3: 1.1085 - dense_1_loss_4: 1.2448 - dense_1_loss_5: 1.1276 - dense_1_loss_6: 1.1449 - dense_1_loss_7: 0.9485 - dense_1_loss_8: 1.0077 - dense_1_loss_9: 1.2071 - dense_1_loss_10: 1.0211 - dense_1_loss_11: 1.2642 - dense_1_loss_12: 1.1626 - dense_1_loss_13: 0.8478 - dense_1_loss_14: 1.0965 - dense_1_loss_15: 1.1987 - dense_1_loss_16: 1.1253 - dense_1_loss_17: 1.0950 - dense_1_loss_18: 1.0153 - dense_1_loss_19: 1.0511 - dense_1_loss_20: 1.2359 - dense_1_loss_21: 1.0267 - dense_1_loss_22: 1.0477 - dense_1_loss_23: 1.0868 - dense_1_loss_24: 1.1021 - dense_1_loss_25: 1.2340 - dense_1_loss_26: 1.0381 - dense_1_loss_27: 1.3238 - dense_1_loss_28: 1.1896 - dense_1_loss_29: 1.1784 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5000 - dense_1_acc_3: 0.5000 - dense_1_acc_4: 0.4167 - dense_1_acc_5: 0.4833 - dense_1_acc_6: 0.5667 - dense_1_acc_7: 0.5667 - dense_1_acc_8: 0.5500 - dense_1_acc_9: 0.4667 - dense_1_acc_10: 0.5667 - dense_1_acc_11: 0.4000 - dense_1_acc_12: 0.4500 - dense_1_acc_13: 0.6333 - dense_1_acc_14: 0.4500 - dense_1_acc_15: 0.4333 - dense_1_acc_16: 0.4667 - dense_1_acc_17: 0.5000 - dense_1_acc_18: 0.6167 - dense_1_acc_19: 0.5167 - dense_1_acc_20: 0.3333 - dense_1_acc_21: 0.5333 - dense_1_acc_22: 0.6000 - dense_1_acc_23: 0.5833 - dense_1_acc_24: 0.4500 - dense_1_acc_25: 0.4667 - dense_1_acc_26: 0.5500 - dense_1_acc_27: 0.4500 - dense_1_acc_28: 0.5167 - dense_1_acc_29: 0.5500 - dense_1_acc_30: 0.0167     \n",
      "Epoch 85/100\n",
      "60/60 [==============================] - 0s - loss: 34.9798 - dense_1_loss_1: 3.6897 - dense_1_loss_2: 1.1644 - dense_1_loss_3: 1.1089 - dense_1_loss_4: 1.2449 - dense_1_loss_5: 1.1273 - dense_1_loss_6: 1.1442 - dense_1_loss_7: 0.9481 - dense_1_loss_8: 1.0069 - dense_1_loss_9: 1.2076 - dense_1_loss_10: 1.0215 - dense_1_loss_11: 1.2639 - dense_1_loss_12: 1.1636 - dense_1_loss_13: 0.8467 - dense_1_loss_14: 1.0958 - dense_1_loss_15: 1.1993 - dense_1_loss_16: 1.1249 - dense_1_loss_17: 1.0955 - dense_1_loss_18: 1.0164 - dense_1_loss_19: 1.0517 - dense_1_loss_20: 1.2362 - dense_1_loss_21: 1.0265 - dense_1_loss_22: 1.0476 - dense_1_loss_23: 1.0865 - dense_1_loss_24: 1.1022 - dense_1_loss_25: 1.2336 - dense_1_loss_26: 1.0377 - dense_1_loss_27: 1.3228 - dense_1_loss_28: 1.1886 - dense_1_loss_29: 1.1772 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5167 - dense_1_acc_3: 0.4833 - dense_1_acc_4: 0.4500 - dense_1_acc_5: 0.4833 - dense_1_acc_6: 0.5667 - dense_1_acc_7: 0.5667 - dense_1_acc_8: 0.5667 - dense_1_acc_9: 0.4833 - dense_1_acc_10: 0.6000 - dense_1_acc_11: 0.4333 - dense_1_acc_12: 0.4333 - dense_1_acc_13: 0.6500 - dense_1_acc_14: 0.5000 - dense_1_acc_15: 0.4667 - dense_1_acc_16: 0.4500 - dense_1_acc_17: 0.5167 - dense_1_acc_18: 0.5833 - dense_1_acc_19: 0.4833 - dense_1_acc_20: 0.3333 - dense_1_acc_21: 0.5333 - dense_1_acc_22: 0.5833 - dense_1_acc_23: 0.5833 - dense_1_acc_24: 0.4500 - dense_1_acc_25: 0.4833 - dense_1_acc_26: 0.5500 - dense_1_acc_27: 0.4333 - dense_1_acc_28: 0.5000 - dense_1_acc_29: 0.5500 - dense_1_acc_30: 0.0167     \n",
      "Epoch 86/100\n",
      "60/60 [==============================] - 0s - loss: 34.9686 - dense_1_loss_1: 3.6870 - dense_1_loss_2: 1.1642 - dense_1_loss_3: 1.1086 - dense_1_loss_4: 1.2439 - dense_1_loss_5: 1.1275 - dense_1_loss_6: 1.1430 - dense_1_loss_7: 0.9483 - dense_1_loss_8: 1.0065 - dense_1_loss_9: 1.2074 - dense_1_loss_10: 1.0209 - dense_1_loss_11: 1.2639 - dense_1_loss_12: 1.1636 - dense_1_loss_13: 0.8466 - dense_1_loss_14: 1.0960 - dense_1_loss_15: 1.1992 - dense_1_loss_16: 1.1250 - dense_1_loss_17: 1.0954 - dense_1_loss_18: 1.0159 - dense_1_loss_19: 1.0518 - dense_1_loss_20: 1.2342 - dense_1_loss_21: 1.0268 - dense_1_loss_22: 1.0477 - dense_1_loss_23: 1.0876 - dense_1_loss_24: 1.1025 - dense_1_loss_25: 1.2345 - dense_1_loss_26: 1.0370 - dense_1_loss_27: 1.3211 - dense_1_loss_28: 1.1872 - dense_1_loss_29: 1.1754 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5333 - dense_1_acc_3: 0.4833 - dense_1_acc_4: 0.4333 - dense_1_acc_5: 0.4833 - dense_1_acc_6: 0.5500 - dense_1_acc_7: 0.5667 - dense_1_acc_8: 0.5500 - dense_1_acc_9: 0.4667 - dense_1_acc_10: 0.5833 - dense_1_acc_11: 0.4167 - dense_1_acc_12: 0.4333 - dense_1_acc_13: 0.6500 - dense_1_acc_14: 0.4833 - dense_1_acc_15: 0.4500 - dense_1_acc_16: 0.4500 - dense_1_acc_17: 0.5000 - dense_1_acc_18: 0.5833 - dense_1_acc_19: 0.4833 - dense_1_acc_20: 0.3667 - dense_1_acc_21: 0.5167 - dense_1_acc_22: 0.5833 - dense_1_acc_23: 0.6000 - dense_1_acc_24: 0.4500 - dense_1_acc_25: 0.4833 - dense_1_acc_26: 0.5500 - dense_1_acc_27: 0.4333 - dense_1_acc_28: 0.5000 - dense_1_acc_29: 0.5333 - dense_1_acc_30: 0.0167         \n",
      "Epoch 87/100\n",
      "60/60 [==============================] - 0s - loss: 34.9512 - dense_1_loss_1: 3.6836 - dense_1_loss_2: 1.1650 - dense_1_loss_3: 1.1074 - dense_1_loss_4: 1.2429 - dense_1_loss_5: 1.1258 - dense_1_loss_6: 1.1418 - dense_1_loss_7: 0.9475 - dense_1_loss_8: 1.0061 - dense_1_loss_9: 1.2075 - dense_1_loss_10: 1.0210 - dense_1_loss_11: 1.2632 - dense_1_loss_12: 1.1635 - dense_1_loss_13: 0.8466 - dense_1_loss_14: 1.0963 - dense_1_loss_15: 1.1984 - dense_1_loss_16: 1.1245 - dense_1_loss_17: 1.0955 - dense_1_loss_18: 1.0154 - dense_1_loss_19: 1.0507 - dense_1_loss_20: 1.2327 - dense_1_loss_21: 1.0255 - dense_1_loss_22: 1.0469 - dense_1_loss_23: 1.0871 - dense_1_loss_24: 1.1018 - dense_1_loss_25: 1.2351 - dense_1_loss_26: 1.0365 - dense_1_loss_27: 1.3215 - dense_1_loss_28: 1.1872 - dense_1_loss_29: 1.1740 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5167 - dense_1_acc_3: 0.4667 - dense_1_acc_4: 0.4333 - dense_1_acc_5: 0.4667 - dense_1_acc_6: 0.5000 - dense_1_acc_7: 0.5333 - dense_1_acc_8: 0.6167 - dense_1_acc_9: 0.4667 - dense_1_acc_10: 0.5667 - dense_1_acc_11: 0.4167 - dense_1_acc_12: 0.4333 - dense_1_acc_13: 0.6833 - dense_1_acc_14: 0.4667 - dense_1_acc_15: 0.4167 - dense_1_acc_16: 0.4833 - dense_1_acc_17: 0.5000 - dense_1_acc_18: 0.6500 - dense_1_acc_19: 0.5000 - dense_1_acc_20: 0.4167 - dense_1_acc_21: 0.5000 - dense_1_acc_22: 0.5500 - dense_1_acc_23: 0.6167 - dense_1_acc_24: 0.4667 - dense_1_acc_25: 0.4167 - dense_1_acc_26: 0.5667 - dense_1_acc_27: 0.4833 - dense_1_acc_28: 0.5000 - dense_1_acc_29: 0.5333 - dense_1_acc_30: 0.0167     \n",
      "Epoch 88/100\n",
      "60/60 [==============================] - 0s - loss: 34.9320 - dense_1_loss_1: 3.6803 - dense_1_loss_2: 1.1652 - dense_1_loss_3: 1.1062 - dense_1_loss_4: 1.2419 - dense_1_loss_5: 1.1244 - dense_1_loss_6: 1.1404 - dense_1_loss_7: 0.9465 - dense_1_loss_8: 1.0066 - dense_1_loss_9: 1.2066 - dense_1_loss_10: 1.0198 - dense_1_loss_11: 1.2631 - dense_1_loss_12: 1.1635 - dense_1_loss_13: 0.8465 - dense_1_loss_14: 1.0964 - dense_1_loss_15: 1.1980 - dense_1_loss_16: 1.1234 - dense_1_loss_17: 1.0953 - dense_1_loss_18: 1.0151 - dense_1_loss_19: 1.0492 - dense_1_loss_20: 1.2312 - dense_1_loss_21: 1.0249 - dense_1_loss_22: 1.0468 - dense_1_loss_23: 1.0867 - dense_1_loss_24: 1.1011 - dense_1_loss_25: 1.2354 - dense_1_loss_26: 1.0357 - dense_1_loss_27: 1.3218 - dense_1_loss_28: 1.1863 - dense_1_loss_29: 1.1737 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5167 - dense_1_acc_3: 0.4833 - dense_1_acc_4: 0.4333 - dense_1_acc_5: 0.4833 - dense_1_acc_6: 0.5000 - dense_1_acc_7: 0.5667 - dense_1_acc_8: 0.6167 - dense_1_acc_9: 0.4500 - dense_1_acc_10: 0.5833 - dense_1_acc_11: 0.4167 - dense_1_acc_12: 0.4167 - dense_1_acc_13: 0.6833 - dense_1_acc_14: 0.4833 - dense_1_acc_15: 0.4333 - dense_1_acc_16: 0.4833 - dense_1_acc_17: 0.4667 - dense_1_acc_18: 0.6167 - dense_1_acc_19: 0.5167 - dense_1_acc_20: 0.3833 - dense_1_acc_21: 0.5000 - dense_1_acc_22: 0.5833 - dense_1_acc_23: 0.6000 - dense_1_acc_24: 0.4667 - dense_1_acc_25: 0.4333 - dense_1_acc_26: 0.5667 - dense_1_acc_27: 0.4667 - dense_1_acc_28: 0.5000 - dense_1_acc_29: 0.5333 - dense_1_acc_30: 0.0167         \n",
      "Epoch 89/100\n",
      "60/60 [==============================] - 0s - loss: 34.9206 - dense_1_loss_1: 3.6773 - dense_1_loss_2: 1.1656 - dense_1_loss_3: 1.1059 - dense_1_loss_4: 1.2406 - dense_1_loss_5: 1.1242 - dense_1_loss_6: 1.1394 - dense_1_loss_7: 0.9470 - dense_1_loss_8: 1.0067 - dense_1_loss_9: 1.2070 - dense_1_loss_10: 1.0201 - dense_1_loss_11: 1.2630 - dense_1_loss_12: 1.1641 - dense_1_loss_13: 0.8462 - dense_1_loss_14: 1.0965 - dense_1_loss_15: 1.1968 - dense_1_loss_16: 1.1233 - dense_1_loss_17: 1.0952 - dense_1_loss_18: 1.0157 - dense_1_loss_19: 1.0493 - dense_1_loss_20: 1.2301 - dense_1_loss_21: 1.0244 - dense_1_loss_22: 1.0460 - dense_1_loss_23: 1.0871 - dense_1_loss_24: 1.1008 - dense_1_loss_25: 1.2349 - dense_1_loss_26: 1.0341 - dense_1_loss_27: 1.3210 - dense_1_loss_28: 1.1853 - dense_1_loss_29: 1.1731 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5167 - dense_1_acc_3: 0.5167 - dense_1_acc_4: 0.4333 - dense_1_acc_5: 0.4667 - dense_1_acc_6: 0.5167 - dense_1_acc_7: 0.5833 - dense_1_acc_8: 0.6167 - dense_1_acc_9: 0.4500 - dense_1_acc_10: 0.6000 - dense_1_acc_11: 0.4500 - dense_1_acc_12: 0.4167 - dense_1_acc_13: 0.6667 - dense_1_acc_14: 0.4833 - dense_1_acc_15: 0.4167 - dense_1_acc_16: 0.4833 - dense_1_acc_17: 0.4833 - dense_1_acc_18: 0.6167 - dense_1_acc_19: 0.5000 - dense_1_acc_20: 0.3667 - dense_1_acc_21: 0.5167 - dense_1_acc_22: 0.5833 - dense_1_acc_23: 0.6000 - dense_1_acc_24: 0.4667 - dense_1_acc_25: 0.4333 - dense_1_acc_26: 0.5667 - dense_1_acc_27: 0.4500 - dense_1_acc_28: 0.5000 - dense_1_acc_29: 0.5333 - dense_1_acc_30: 0.0167         \n",
      "Epoch 90/100\n",
      "60/60 [==============================] - 0s - loss: 34.9203 - dense_1_loss_1: 3.6745 - dense_1_loss_2: 1.1668 - dense_1_loss_3: 1.1069 - dense_1_loss_4: 1.2399 - dense_1_loss_5: 1.1246 - dense_1_loss_6: 1.1393 - dense_1_loss_7: 0.9474 - dense_1_loss_8: 1.0078 - dense_1_loss_9: 1.2074 - dense_1_loss_10: 1.0201 - dense_1_loss_11: 1.2629 - dense_1_loss_12: 1.1646 - dense_1_loss_13: 0.8472 - dense_1_loss_14: 1.0968 - dense_1_loss_15: 1.1975 - dense_1_loss_16: 1.1235 - dense_1_loss_17: 1.0957 - dense_1_loss_18: 1.0169 - dense_1_loss_19: 1.0495 - dense_1_loss_20: 1.2298 - dense_1_loss_21: 1.0244 - dense_1_loss_22: 1.0453 - dense_1_loss_23: 1.0871 - dense_1_loss_24: 1.1000 - dense_1_loss_25: 1.2345 - dense_1_loss_26: 1.0332 - dense_1_loss_27: 1.3203 - dense_1_loss_28: 1.1846 - dense_1_loss_29: 1.1717 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5167 - dense_1_acc_3: 0.5167 - dense_1_acc_4: 0.4333 - dense_1_acc_5: 0.4667 - dense_1_acc_6: 0.5167 - dense_1_acc_7: 0.5833 - dense_1_acc_8: 0.6167 - dense_1_acc_9: 0.4500 - dense_1_acc_10: 0.6000 - dense_1_acc_11: 0.4500 - dense_1_acc_12: 0.4167 - dense_1_acc_13: 0.6667 - dense_1_acc_14: 0.4833 - dense_1_acc_15: 0.4167 - dense_1_acc_16: 0.4833 - dense_1_acc_17: 0.4833 - dense_1_acc_18: 0.6167 - dense_1_acc_19: 0.5000 - dense_1_acc_20: 0.3667 - dense_1_acc_21: 0.5167 - dense_1_acc_22: 0.5833 - dense_1_acc_23: 0.6000 - dense_1_acc_24: 0.4667 - dense_1_acc_25: 0.4333 - dense_1_acc_26: 0.5667 - dense_1_acc_27: 0.4500 - dense_1_acc_28: 0.5000 - dense_1_acc_29: 0.5333 - dense_1_acc_30: 0.0167         \n",
      "Epoch 91/100\n",
      "60/60 [==============================] - 0s - loss: 34.8995 - dense_1_loss_1: 3.6717 - dense_1_loss_2: 1.1663 - dense_1_loss_3: 1.1044 - dense_1_loss_4: 1.2394 - dense_1_loss_5: 1.1225 - dense_1_loss_6: 1.1379 - dense_1_loss_7: 0.9464 - dense_1_loss_8: 1.0081 - dense_1_loss_9: 1.2059 - dense_1_loss_10: 1.0198 - dense_1_loss_11: 1.2641 - dense_1_loss_12: 1.1638 - dense_1_loss_13: 0.8475 - dense_1_loss_14: 1.0976 - dense_1_loss_15: 1.1962 - dense_1_loss_16: 1.1220 - dense_1_loss_17: 1.0961 - dense_1_loss_18: 1.0167 - dense_1_loss_19: 1.0487 - dense_1_loss_20: 1.2292 - dense_1_loss_21: 1.0242 - dense_1_loss_22: 1.0436 - dense_1_loss_23: 1.0858 - dense_1_loss_24: 1.0999 - dense_1_loss_25: 1.2339 - dense_1_loss_26: 1.0317 - dense_1_loss_27: 1.3199 - dense_1_loss_28: 1.1844 - dense_1_loss_29: 1.1719 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5167 - dense_1_acc_3: 0.5000 - dense_1_acc_4: 0.4333 - dense_1_acc_5: 0.4667 - dense_1_acc_6: 0.5167 - dense_1_acc_7: 0.6000 - dense_1_acc_8: 0.6000 - dense_1_acc_9: 0.4500 - dense_1_acc_10: 0.6000 - dense_1_acc_11: 0.4167 - dense_1_acc_12: 0.4000 - dense_1_acc_13: 0.6833 - dense_1_acc_14: 0.4833 - dense_1_acc_15: 0.4500 - dense_1_acc_16: 0.4833 - dense_1_acc_17: 0.4833 - dense_1_acc_18: 0.6167 - dense_1_acc_19: 0.4667 - dense_1_acc_20: 0.3667 - dense_1_acc_21: 0.5333 - dense_1_acc_22: 0.5833 - dense_1_acc_23: 0.6000 - dense_1_acc_24: 0.4833 - dense_1_acc_25: 0.4333 - dense_1_acc_26: 0.5667 - dense_1_acc_27: 0.4500 - dense_1_acc_28: 0.4833 - dense_1_acc_29: 0.5333 - dense_1_acc_30: 0.0167         \n",
      "Epoch 92/100\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "60/60 [==============================] - 0s - loss: 34.8926 - dense_1_loss_1: 3.6684 - dense_1_loss_2: 1.1666 - dense_1_loss_3: 1.1021 - dense_1_loss_4: 1.2391 - dense_1_loss_5: 1.1227 - dense_1_loss_6: 1.1370 - dense_1_loss_7: 0.9446 - dense_1_loss_8: 1.0078 - dense_1_loss_9: 1.2048 - dense_1_loss_10: 1.0188 - dense_1_loss_11: 1.2646 - dense_1_loss_12: 1.1631 - dense_1_loss_13: 0.8473 - dense_1_loss_14: 1.0974 - dense_1_loss_15: 1.1956 - dense_1_loss_16: 1.1224 - dense_1_loss_17: 1.0956 - dense_1_loss_18: 1.0166 - dense_1_loss_19: 1.0490 - dense_1_loss_20: 1.2303 - dense_1_loss_21: 1.0241 - dense_1_loss_22: 1.0436 - dense_1_loss_23: 1.0859 - dense_1_loss_24: 1.1004 - dense_1_loss_25: 1.2345 - dense_1_loss_26: 1.0320 - dense_1_loss_27: 1.3205 - dense_1_loss_28: 1.1858 - dense_1_loss_29: 1.1721 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5333 - dense_1_acc_3: 0.4833 - dense_1_acc_4: 0.4333 - dense_1_acc_5: 0.4500 - dense_1_acc_6: 0.5167 - dense_1_acc_7: 0.5667 - dense_1_acc_8: 0.5833 - dense_1_acc_9: 0.4500 - dense_1_acc_10: 0.6167 - dense_1_acc_11: 0.4333 - dense_1_acc_12: 0.4167 - dense_1_acc_13: 0.7000 - dense_1_acc_14: 0.5167 - dense_1_acc_15: 0.4333 - dense_1_acc_16: 0.4667 - dense_1_acc_17: 0.5000 - dense_1_acc_18: 0.5833 - dense_1_acc_19: 0.5000 - dense_1_acc_20: 0.3833 - dense_1_acc_21: 0.5167 - dense_1_acc_22: 0.5833 - dense_1_acc_23: 0.6000 - dense_1_acc_24: 0.4833 - dense_1_acc_25: 0.4333 - dense_1_acc_26: 0.5667 - dense_1_acc_27: 0.4500 - dense_1_acc_28: 0.4833 - dense_1_acc_29: 0.5500 - dense_1_acc_30: 0.0167     \n",
      "Epoch 93/100\n",
      "60/60 [==============================] - 0s - loss: 34.8772 - dense_1_loss_1: 3.6654 - dense_1_loss_2: 1.1646 - dense_1_loss_3: 1.0996 - dense_1_loss_4: 1.2383 - dense_1_loss_5: 1.1228 - dense_1_loss_6: 1.1352 - dense_1_loss_7: 0.9446 - dense_1_loss_8: 1.0082 - dense_1_loss_9: 1.2042 - dense_1_loss_10: 1.0178 - dense_1_loss_11: 1.2642 - dense_1_loss_12: 1.1625 - dense_1_loss_13: 0.8462 - dense_1_loss_14: 1.0967 - dense_1_loss_15: 1.1944 - dense_1_loss_16: 1.1226 - dense_1_loss_17: 1.0952 - dense_1_loss_18: 1.0169 - dense_1_loss_19: 1.0488 - dense_1_loss_20: 1.2315 - dense_1_loss_21: 1.0237 - dense_1_loss_22: 1.0443 - dense_1_loss_23: 1.0856 - dense_1_loss_24: 1.0999 - dense_1_loss_25: 1.2341 - dense_1_loss_26: 1.0321 - dense_1_loss_27: 1.3198 - dense_1_loss_28: 1.1857 - dense_1_loss_29: 1.1723 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5333 - dense_1_acc_3: 0.4833 - dense_1_acc_4: 0.4333 - dense_1_acc_5: 0.4500 - dense_1_acc_6: 0.5167 - dense_1_acc_7: 0.5667 - dense_1_acc_8: 0.5833 - dense_1_acc_9: 0.4500 - dense_1_acc_10: 0.6167 - dense_1_acc_11: 0.4333 - dense_1_acc_12: 0.4167 - dense_1_acc_13: 0.7000 - dense_1_acc_14: 0.5167 - dense_1_acc_15: 0.4333 - dense_1_acc_16: 0.4667 - dense_1_acc_17: 0.5000 - dense_1_acc_18: 0.5833 - dense_1_acc_19: 0.5000 - dense_1_acc_20: 0.3833 - dense_1_acc_21: 0.5167 - dense_1_acc_22: 0.5833 - dense_1_acc_23: 0.6000 - dense_1_acc_24: 0.4833 - dense_1_acc_25: 0.4333 - dense_1_acc_26: 0.5667 - dense_1_acc_27: 0.4500 - dense_1_acc_28: 0.4833 - dense_1_acc_29: 0.5500 - dense_1_acc_30: 0.0167         \n",
      "Epoch 94/100\n",
      "60/60 [==============================] - 0s - loss: 34.8756 - dense_1_loss_1: 3.6633 - dense_1_loss_2: 1.1631 - dense_1_loss_3: 1.0975 - dense_1_loss_4: 1.2375 - dense_1_loss_5: 1.1234 - dense_1_loss_6: 1.1345 - dense_1_loss_7: 0.9445 - dense_1_loss_8: 1.0076 - dense_1_loss_9: 1.2024 - dense_1_loss_10: 1.0185 - dense_1_loss_11: 1.2640 - dense_1_loss_12: 1.1621 - dense_1_loss_13: 0.8464 - dense_1_loss_14: 1.0963 - dense_1_loss_15: 1.1946 - dense_1_loss_16: 1.1238 - dense_1_loss_17: 1.0952 - dense_1_loss_18: 1.0165 - dense_1_loss_19: 1.0494 - dense_1_loss_20: 1.2324 - dense_1_loss_21: 1.0254 - dense_1_loss_22: 1.0450 - dense_1_loss_23: 1.0858 - dense_1_loss_24: 1.0993 - dense_1_loss_25: 1.2336 - dense_1_loss_26: 1.0341 - dense_1_loss_27: 1.3199 - dense_1_loss_28: 1.1871 - dense_1_loss_29: 1.1722 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5167 - dense_1_acc_3: 0.5000 - dense_1_acc_4: 0.4333 - dense_1_acc_5: 0.4667 - dense_1_acc_6: 0.5333 - dense_1_acc_7: 0.5667 - dense_1_acc_8: 0.5667 - dense_1_acc_9: 0.4667 - dense_1_acc_10: 0.6167 - dense_1_acc_11: 0.4500 - dense_1_acc_12: 0.4167 - dense_1_acc_13: 0.6833 - dense_1_acc_14: 0.5333 - dense_1_acc_15: 0.4500 - dense_1_acc_16: 0.4500 - dense_1_acc_17: 0.5000 - dense_1_acc_18: 0.6000 - dense_1_acc_19: 0.5000 - dense_1_acc_20: 0.3500 - dense_1_acc_21: 0.5333 - dense_1_acc_22: 0.5833 - dense_1_acc_23: 0.5833 - dense_1_acc_24: 0.4500 - dense_1_acc_25: 0.4667 - dense_1_acc_26: 0.5500 - dense_1_acc_27: 0.4333 - dense_1_acc_28: 0.5000 - dense_1_acc_29: 0.5500 - dense_1_acc_30: 0.0167     \n",
      "Epoch 95/100\n",
      "60/60 [==============================] - 0s - loss: 34.8592 - dense_1_loss_1: 3.6600 - dense_1_loss_2: 1.1606 - dense_1_loss_3: 1.0937 - dense_1_loss_4: 1.2365 - dense_1_loss_5: 1.1240 - dense_1_loss_6: 1.1340 - dense_1_loss_7: 0.9447 - dense_1_loss_8: 1.0078 - dense_1_loss_9: 1.2025 - dense_1_loss_10: 1.0178 - dense_1_loss_11: 1.2640 - dense_1_loss_12: 1.1603 - dense_1_loss_13: 0.8467 - dense_1_loss_14: 1.0956 - dense_1_loss_15: 1.1944 - dense_1_loss_16: 1.1247 - dense_1_loss_17: 1.0942 - dense_1_loss_18: 1.0152 - dense_1_loss_19: 1.0483 - dense_1_loss_20: 1.2342 - dense_1_loss_21: 1.0251 - dense_1_loss_22: 1.0460 - dense_1_loss_23: 1.0852 - dense_1_loss_24: 1.0980 - dense_1_loss_25: 1.2328 - dense_1_loss_26: 1.0349 - dense_1_loss_27: 1.3198 - dense_1_loss_28: 1.1872 - dense_1_loss_29: 1.1709 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5000 - dense_1_acc_3: 0.4833 - dense_1_acc_4: 0.4500 - dense_1_acc_5: 0.4833 - dense_1_acc_6: 0.5333 - dense_1_acc_7: 0.5500 - dense_1_acc_8: 0.5667 - dense_1_acc_9: 0.4667 - dense_1_acc_10: 0.6000 - dense_1_acc_11: 0.4333 - dense_1_acc_12: 0.4167 - dense_1_acc_13: 0.6500 - dense_1_acc_14: 0.5000 - dense_1_acc_15: 0.4500 - dense_1_acc_16: 0.4500 - dense_1_acc_17: 0.5167 - dense_1_acc_18: 0.6000 - dense_1_acc_19: 0.4833 - dense_1_acc_20: 0.3500 - dense_1_acc_21: 0.5167 - dense_1_acc_22: 0.5833 - dense_1_acc_23: 0.5833 - dense_1_acc_24: 0.4500 - dense_1_acc_25: 0.5167 - dense_1_acc_26: 0.5500 - dense_1_acc_27: 0.4333 - dense_1_acc_28: 0.5167 - dense_1_acc_29: 0.5333 - dense_1_acc_30: 0.0167     \n",
      "Epoch 96/100\n",
      "60/60 [==============================] - 0s - loss: 34.8570 - dense_1_loss_1: 3.6572 - dense_1_loss_2: 1.1592 - dense_1_loss_3: 1.0930 - dense_1_loss_4: 1.2357 - dense_1_loss_5: 1.1239 - dense_1_loss_6: 1.1338 - dense_1_loss_7: 0.9443 - dense_1_loss_8: 1.0072 - dense_1_loss_9: 1.2025 - dense_1_loss_10: 1.0187 - dense_1_loss_11: 1.2633 - dense_1_loss_12: 1.1593 - dense_1_loss_13: 0.8478 - dense_1_loss_14: 1.0964 - dense_1_loss_15: 1.1951 - dense_1_loss_16: 1.1249 - dense_1_loss_17: 1.0953 - dense_1_loss_18: 1.0146 - dense_1_loss_19: 1.0484 - dense_1_loss_20: 1.2350 - dense_1_loss_21: 1.0253 - dense_1_loss_22: 1.0475 - dense_1_loss_23: 1.0866 - dense_1_loss_24: 1.0976 - dense_1_loss_25: 1.2321 - dense_1_loss_26: 1.0353 - dense_1_loss_27: 1.3199 - dense_1_loss_28: 1.1871 - dense_1_loss_29: 1.1698 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5167 - dense_1_acc_3: 0.4667 - dense_1_acc_4: 0.4167 - dense_1_acc_5: 0.4833 - dense_1_acc_6: 0.5500 - dense_1_acc_7: 0.5500 - dense_1_acc_8: 0.5667 - dense_1_acc_9: 0.5000 - dense_1_acc_10: 0.5667 - dense_1_acc_11: 0.3833 - dense_1_acc_12: 0.4500 - dense_1_acc_13: 0.6667 - dense_1_acc_14: 0.4500 - dense_1_acc_15: 0.4667 - dense_1_acc_16: 0.4667 - dense_1_acc_17: 0.4833 - dense_1_acc_18: 0.6333 - dense_1_acc_19: 0.5167 - dense_1_acc_20: 0.3833 - dense_1_acc_21: 0.5333 - dense_1_acc_22: 0.5833 - dense_1_acc_23: 0.5833 - dense_1_acc_24: 0.4500 - dense_1_acc_25: 0.4667 - dense_1_acc_26: 0.5500 - dense_1_acc_27: 0.4667 - dense_1_acc_28: 0.5167 - dense_1_acc_29: 0.5500 - dense_1_acc_30: 0.0167     \n",
      "Epoch 97/100\n",
      "60/60 [==============================] - 0s - loss: 34.8406 - dense_1_loss_1: 3.6548 - dense_1_loss_2: 1.1578 - dense_1_loss_3: 1.0917 - dense_1_loss_4: 1.2354 - dense_1_loss_5: 1.1238 - dense_1_loss_6: 1.1333 - dense_1_loss_7: 0.9443 - dense_1_loss_8: 1.0068 - dense_1_loss_9: 1.2034 - dense_1_loss_10: 1.0181 - dense_1_loss_11: 1.2623 - dense_1_loss_12: 1.1593 - dense_1_loss_13: 0.8466 - dense_1_loss_14: 1.0956 - dense_1_loss_15: 1.1950 - dense_1_loss_16: 1.1244 - dense_1_loss_17: 1.0947 - dense_1_loss_18: 1.0143 - dense_1_loss_19: 1.0480 - dense_1_loss_20: 1.2356 - dense_1_loss_21: 1.0256 - dense_1_loss_22: 1.0477 - dense_1_loss_23: 1.0860 - dense_1_loss_24: 1.0972 - dense_1_loss_25: 1.2307 - dense_1_loss_26: 1.0345 - dense_1_loss_27: 1.3181 - dense_1_loss_28: 1.1859 - dense_1_loss_29: 1.1693 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5167 - dense_1_acc_3: 0.4833 - dense_1_acc_4: 0.4167 - dense_1_acc_5: 0.4833 - dense_1_acc_6: 0.5500 - dense_1_acc_7: 0.5333 - dense_1_acc_8: 0.5500 - dense_1_acc_9: 0.5000 - dense_1_acc_10: 0.5500 - dense_1_acc_11: 0.4000 - dense_1_acc_12: 0.4500 - dense_1_acc_13: 0.6667 - dense_1_acc_14: 0.4667 - dense_1_acc_15: 0.4500 - dense_1_acc_16: 0.4833 - dense_1_acc_17: 0.4833 - dense_1_acc_18: 0.6167 - dense_1_acc_19: 0.5333 - dense_1_acc_20: 0.3833 - dense_1_acc_21: 0.5167 - dense_1_acc_22: 0.6000 - dense_1_acc_23: 0.5833 - dense_1_acc_24: 0.4500 - dense_1_acc_25: 0.4833 - dense_1_acc_26: 0.5500 - dense_1_acc_27: 0.4667 - dense_1_acc_28: 0.5167 - dense_1_acc_29: 0.5500 - dense_1_acc_30: 0.0167     \n",
      "Epoch 98/100\n",
      "60/60 [==============================] - 0s - loss: 34.8230 - dense_1_loss_1: 3.6521 - dense_1_loss_2: 1.1577 - dense_1_loss_3: 1.0902 - dense_1_loss_4: 1.2353 - dense_1_loss_5: 1.1227 - dense_1_loss_6: 1.1326 - dense_1_loss_7: 0.9445 - dense_1_loss_8: 1.0054 - dense_1_loss_9: 1.2032 - dense_1_loss_10: 1.0175 - dense_1_loss_11: 1.2627 - dense_1_loss_12: 1.1585 - dense_1_loss_13: 0.8462 - dense_1_loss_14: 1.0958 - dense_1_loss_15: 1.1944 - dense_1_loss_16: 1.1235 - dense_1_loss_17: 1.0943 - dense_1_loss_18: 1.0145 - dense_1_loss_19: 1.0483 - dense_1_loss_20: 1.2347 - dense_1_loss_21: 1.0257 - dense_1_loss_22: 1.0472 - dense_1_loss_23: 1.0850 - dense_1_loss_24: 1.0960 - dense_1_loss_25: 1.2303 - dense_1_loss_26: 1.0334 - dense_1_loss_27: 1.3178 - dense_1_loss_28: 1.1849 - dense_1_loss_29: 1.1684 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5167 - dense_1_acc_3: 0.4833 - dense_1_acc_4: 0.4167 - dense_1_acc_5: 0.4833 - dense_1_acc_6: 0.5500 - dense_1_acc_7: 0.5333 - dense_1_acc_8: 0.5500 - dense_1_acc_9: 0.5000 - dense_1_acc_10: 0.5500 - dense_1_acc_11: 0.4000 - dense_1_acc_12: 0.4500 - dense_1_acc_13: 0.6667 - dense_1_acc_14: 0.4667 - dense_1_acc_15: 0.4500 - dense_1_acc_16: 0.4833 - dense_1_acc_17: 0.4833 - dense_1_acc_18: 0.6167 - dense_1_acc_19: 0.5333 - dense_1_acc_20: 0.3833 - dense_1_acc_21: 0.5167 - dense_1_acc_22: 0.6000 - dense_1_acc_23: 0.5833 - dense_1_acc_24: 0.4500 - dense_1_acc_25: 0.4833 - dense_1_acc_26: 0.5500 - dense_1_acc_27: 0.4667 - dense_1_acc_28: 0.5167 - dense_1_acc_29: 0.5500 - dense_1_acc_30: 0.0167     \n",
      "Epoch 99/100\n",
      "60/60 [==============================] - 0s - loss: 34.8118 - dense_1_loss_1: 3.6492 - dense_1_loss_2: 1.1593 - dense_1_loss_3: 1.0898 - dense_1_loss_4: 1.2340 - dense_1_loss_5: 1.1224 - dense_1_loss_6: 1.1328 - dense_1_loss_7: 0.9438 - dense_1_loss_8: 1.0050 - dense_1_loss_9: 1.2032 - dense_1_loss_10: 1.0173 - dense_1_loss_11: 1.2618 - dense_1_loss_12: 1.1574 - dense_1_loss_13: 0.8466 - dense_1_loss_14: 1.0954 - dense_1_loss_15: 1.1938 - dense_1_loss_16: 1.1231 - dense_1_loss_17: 1.0941 - dense_1_loss_18: 1.0131 - dense_1_loss_19: 1.0472 - dense_1_loss_20: 1.2336 - dense_1_loss_21: 1.0254 - dense_1_loss_22: 1.0469 - dense_1_loss_23: 1.0850 - dense_1_loss_24: 1.0956 - dense_1_loss_25: 1.2314 - dense_1_loss_26: 1.0320 - dense_1_loss_27: 1.3181 - dense_1_loss_28: 1.1860 - dense_1_loss_29: 1.1682 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5333 - dense_1_acc_3: 0.4833 - dense_1_acc_4: 0.4167 - dense_1_acc_5: 0.4833 - dense_1_acc_6: 0.5500 - dense_1_acc_7: 0.5333 - dense_1_acc_8: 0.5500 - dense_1_acc_9: 0.5000 - dense_1_acc_10: 0.5500 - dense_1_acc_11: 0.4000 - dense_1_acc_12: 0.4500 - dense_1_acc_13: 0.6667 - dense_1_acc_14: 0.4500 - dense_1_acc_15: 0.4333 - dense_1_acc_16: 0.5000 - dense_1_acc_17: 0.4833 - dense_1_acc_18: 0.6000 - dense_1_acc_19: 0.5500 - dense_1_acc_20: 0.4000 - dense_1_acc_21: 0.5167 - dense_1_acc_22: 0.5667 - dense_1_acc_23: 0.5833 - dense_1_acc_24: 0.4667 - dense_1_acc_25: 0.4833 - dense_1_acc_26: 0.5667 - dense_1_acc_27: 0.4667 - dense_1_acc_28: 0.5167 - dense_1_acc_29: 0.5500 - dense_1_acc_30: 0.0167     \n",
      "Epoch 100/100\n",
      "60/60 [==============================] - 0s - loss: 34.8077 - dense_1_loss_1: 3.6466 - dense_1_loss_2: 1.1615 - dense_1_loss_3: 1.0890 - dense_1_loss_4: 1.2347 - dense_1_loss_5: 1.1223 - dense_1_loss_6: 1.1327 - dense_1_loss_7: 0.9439 - dense_1_loss_8: 1.0042 - dense_1_loss_9: 1.2036 - dense_1_loss_10: 1.0183 - dense_1_loss_11: 1.2616 - dense_1_loss_12: 1.1572 - dense_1_loss_13: 0.8466 - dense_1_loss_14: 1.0957 - dense_1_loss_15: 1.1932 - dense_1_loss_16: 1.1227 - dense_1_loss_17: 1.0938 - dense_1_loss_18: 1.0123 - dense_1_loss_19: 1.0470 - dense_1_loss_20: 1.2328 - dense_1_loss_21: 1.0248 - dense_1_loss_22: 1.0463 - dense_1_loss_23: 1.0852 - dense_1_loss_24: 1.0954 - dense_1_loss_25: 1.2326 - dense_1_loss_26: 1.0313 - dense_1_loss_27: 1.3184 - dense_1_loss_28: 1.1862 - dense_1_loss_29: 1.1677 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5500 - dense_1_acc_3: 0.5167 - dense_1_acc_4: 0.4000 - dense_1_acc_5: 0.4667 - dense_1_acc_6: 0.5167 - dense_1_acc_7: 0.5333 - dense_1_acc_8: 0.5667 - dense_1_acc_9: 0.4833 - dense_1_acc_10: 0.5500 - dense_1_acc_11: 0.4000 - dense_1_acc_12: 0.4333 - dense_1_acc_13: 0.7000 - dense_1_acc_14: 0.4500 - dense_1_acc_15: 0.4167 - dense_1_acc_16: 0.5000 - dense_1_acc_17: 0.4833 - dense_1_acc_18: 0.6167 - dense_1_acc_19: 0.5167 - dense_1_acc_20: 0.4167 - dense_1_acc_21: 0.5000 - dense_1_acc_22: 0.5667 - dense_1_acc_23: 0.6167 - dense_1_acc_24: 0.4667 - dense_1_acc_25: 0.4833 - dense_1_acc_26: 0.5667 - dense_1_acc_27: 0.4833 - dense_1_acc_28: 0.5000 - dense_1_acc_29: 0.5333 - dense_1_acc_30: 0.0167         \n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<keras.callbacks.History at 0x7f6743f7dd68>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.fit([X, a0, c0], list(Y), epochs=100)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You should see the model loss going down. Now that you have trained a model, lets go on the the final section to implement an inference algorithm, and generate some music! "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3 - Generating music\n",
    "\n",
    "You now have a trained model which has learned the patterns of the jazz soloist. Lets now use this model to synthesize new music. \n",
    "\n",
    "#### 3.1 - Predicting & Sampling\n",
    "\n",
    "<img src=\"images/music_gen.png\" style=\"width:600;height:400px;\">\n",
    "\n",
    "At each step of sampling, you will take as input the activation `a` and cell state `c` from the previous state of the LSTM, forward propagate by one step, and get a new output activation as well as cell state. The new activation `a` can then be used to generate the output, using `densor` as before. \n",
    "\n",
    "To start off the model, we will initialize `x0` as well as the LSTM activation and and cell value `a0` and `c0` to be zeros. \n",
    "\n",
    "\n",
    "<!-- \n",
    "You are about to build a function that will do this inference for you. Your function takes in your previous model and the number of time steps `Ty` that you want to sample. It will return a keras model that would be able to generate sequences for you. Furthermore, the function takes in a dense layer of `78` units and the number of activations. \n",
    "!--> \n",
    "\n",
    "\n",
    "**Exercise:** Implement the function below to sample a sequence of musical values. Here are some of the key steps you'll need to implement inside the for-loop that generates the $T_y$ output characters: \n",
    "\n",
    "Step 2.A: Use `LSTM_Cell`, which inputs the previous step's `c` and `a` to generate the current step's `c` and `a`. \n",
    "\n",
    "Step 2.B: Use `densor` (defined previously) to compute a softmax on `a` to get the output for the current step. \n",
    "\n",
    "Step 2.C: Save the output you have just generated by appending it to `outputs`.\n",
    "\n",
    "Step 2.D: Sample x to the be \"out\"'s one-hot version (the prediction) so that you can pass it to the next LSTM's step.  We have already provided this line of code, which uses a [Lambda](https://keras.io/layers/core/#lambda) function. \n",
    "```python\n",
    "x = Lambda(one_hot)(out) \n",
    "```\n",
    "[Minor technical note: Rather than sampling a value at random according to the probabilities in `out`, this line of code actually chooses the single most likely note at each step using an argmax.]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def music_inference_model(LSTM_cell, densor, n_values = 78, n_a = 64, Ty = 100):\n",
    "    \"\"\"\n",
    "    Uses the trained \"LSTM_cell\" and \"densor\" from model() to generate a sequence of values.\n",
    "    \n",
    "    Arguments:\n",
    "    LSTM_cell -- the trained \"LSTM_cell\" from model(), Keras layer object\n",
    "    densor -- the trained \"densor\" from model(), Keras layer object\n",
    "    n_values -- integer, number of unique values\n",
    "    n_a -- number of units in the LSTM_cell\n",
    "    Ty -- integer, number of time steps to generate\n",
    "    \n",
    "    Returns:\n",
    "    inference_model -- Keras model instance\n",
    "    \"\"\"\n",
    "    \n",
    "    # Define the input of your model with a shape \n",
    "    x0 = Input(shape=(1, n_values))\n",
    "    \n",
    "    # Define s0, initial hidden state for the decoder LSTM\n",
    "    a0 = Input(shape=(n_a,), name='a0')\n",
    "    c0 = Input(shape=(n_a,), name='c0')\n",
    "    a = a0\n",
    "    c = c0\n",
    "    x = x0\n",
    "\n",
    "    # Step 1: Create an empty list of \"outputs\" to later store your predicted values (≈1 line)\n",
    "    outputs = []\n",
    "    \n",
    "    # Step 2: Loop over Ty and generate a value at every time step\n",
    "    for t in range(Ty):\n",
    "        \n",
    "        # Step 2.A: Perform one step of LSTM_cell (≈1 line)\n",
    "        a, _, c = LSTM_cell(x, initial_state=[a, c])\n",
    "        \n",
    "        # Step 2.B: Apply Dense layer to the hidden state output of the LSTM_cell (≈1 line)\n",
    "        out = densor(a)\n",
    "\n",
    "        # Step 2.C: Append the prediction \"out\" to \"outputs\". out.shape = (None, 78) (≈1 line)\n",
    "        outputs.append(out)\n",
    "        \n",
    "        # Step 2.D: Select the next value according to \"out\", and set \"x\" to be the one-hot representation of the\n",
    "        #           selected value, which will be passed as the input to LSTM_cell on the next step. We have provided \n",
    "        #           the line of code you need to do this. \n",
    "        x = Lambda(one_hot)(out)\n",
    "        \n",
    "    # Step 3: Create model instance with the correct \"inputs\" and \"outputs\" (≈1 line)\n",
    "    inference_model = Model(inputs=[x0, a0, c0], outputs=outputs)\n",
    "    \n",
    "    \n",
    "    return inference_model"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Run the cell below to define your inference model. This model is hard coded to generate 50 values."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "inference_model = music_inference_model(LSTM_cell, densor, n_values = 78, n_a = 64, Ty = 50)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Finally, this creates the zero-valued vectors you will use to initialize `x` and the LSTM state variables `a` and `c`. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "x_initializer = np.zeros((1, 1, 78))\n",
    "a_initializer = np.zeros((1, n_a))\n",
    "c_initializer = np.zeros((1, n_a))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Exercise**: Implement `predict_and_sample()`. This function takes many arguments including the inputs [x_initializer, a_initializer, c_initializer]. In order to predict the output corresponding to this input, you will need to carry-out 3 steps:\n",
    "1. Use your inference model to predict an output given your set of inputs. The output `pred` should be a list of length $T_y$ where each element is a numpy-array of shape (1, n_values).\n",
    "2. Convert `pred` into a numpy array of $T_y$ indices. Each index corresponds is computed by taking the `argmax` of an element of the `pred` list. [Hint](https://docs.scipy.org/doc/numpy/reference/generated/numpy.argmax.html).\n",
    "3. Convert the indices into their one-hot vector representations. [Hint](https://keras.io/utils/#to_categorical)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def predict_and_sample(inference_model, x_initializer = x_initializer, a_initializer = a_initializer, \n",
    "                       c_initializer = c_initializer):\n",
    "    \"\"\"\n",
    "    Predicts the next value of values using the inference model.\n",
    "    \n",
    "    Arguments:\n",
    "    inference_model -- Keras model instance for inference time\n",
    "    x_initializer -- numpy array of shape (1, 1, 78), one-hot vector initializing the values generation\n",
    "    a_initializer -- numpy array of shape (1, n_a), initializing the hidden state of the LSTM_cell\n",
    "    c_initializer -- numpy array of shape (1, n_a), initializing the cell state of the LSTM_cel\n",
    "    \n",
    "    Returns:\n",
    "    results -- numpy-array of shape (Ty, 78), matrix of one-hot vectors representing the values generated\n",
    "    indices -- numpy-array of shape (Ty, 1), matrix of indices representing the values generated\n",
    "    \"\"\"\n",
    "    \n",
    "    # Step 1: Use your inference model to predict an output sequence given x_initializer, a_initializer and c_initializer.\n",
    "    pred = inference_model.predict([x_initializer, a_initializer, c_initializer])\n",
    "    # Step 2: Convert \"pred\" into an np.array() of indices with the maximum probabilities\n",
    "    indices = np.argmax(pred, axis=-1)\n",
    "\n",
    "    # Step 3: Convert indices to one-hot vectors, the shape of the results should be (1, )\n",
    "    results = to_categorical(indices, num_classes=78)\n",
    "    \n",
    "    return results, indices"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "np.argmax(results[12]) = 75\n",
      "np.argmax(results[17]) = 70\n",
      "list(indices[12:18]) = [array([75]), array([70]), array([75]), array([70]), array([75]), array([70])]\n"
     ]
    }
   ],
   "source": [
    "results, indices = predict_and_sample(inference_model, x_initializer, a_initializer, c_initializer)\n",
    "print(\"np.argmax(results[12]) =\", np.argmax(results[12]))\n",
    "print(\"np.argmax(results[17]) =\", np.argmax(results[17]))\n",
    "print(\"list(indices[12:18]) =\", list(indices[12:18]))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 3.3 - Generate music \n",
    "\n",
    "Finally, you are ready to generate music. Your RNN generates a sequence of values. The following code generates music by first calling your `predict_and_sample()` function. These values are then post-processed into musical chords (meaning that multiple values or notes can be played at the same time). \n",
    "\n",
    "Most computational music algorithms use some post-processing because it is difficult to generate music that sounds good without such post-processing. The post-processing does things such as clean up the generated audio by making sure the same sound is not repeated too many times, that two successive notes are not too far from each other in pitch, and so on. One could argue that a lot of these post-processing steps are hacks; also, a lot the music generation literature has also focused on hand-crafting post-processors, and a lot of the output quality depends on the quality of the post-processing and not just the quality of the RNN. But this post-processing does make a huge difference, so lets use it in our implementation as well. \n",
    "\n",
    "Lets make some music! "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Run the following cell to generate music and record it into your `out_stream`. This can take a couple of minutes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true,
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "out_stream = generate_music(inference_model)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To listen to your music, click File->Open... Then go to \"output/\" and download \"my_music.midi\". Either play it on your computer with an application that can read midi files if you have one, or use one of the free online \"MIDI to mp3\" conversion tools to convert this to mp3.  \n",
    "\n",
    "As reference, here also is a 30sec audio clip we generated using this algorithm. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "IPython.display.Audio('./data/30s_trained_model.mp3')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Congratulations!\n",
    "\n",
    "You have come to the end of the notebook. \n",
    "\n",
    "<font color=\"blue\">\n",
    "Here's what you should remember:\n",
    "- A sequence model can be used to generate musical values, which are then post-processed into midi music. \n",
    "- Fairly similar models can be used to generate dinosaur names or to generate music, with the major difference being the input fed to the model.  \n",
    "- In Keras, sequence generation involves defining layers with shared weights, which are then repeated for the different time steps $1, \\ldots, T_x$. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Congratulations on completing this assignment and generating a jazz solo! "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**References**\n",
    "\n",
    "The ideas presented in this notebook came primarily from three computational music papers cited below. The implementation here also took significant inspiration and used many components from Ji-Sung Kim's github repository.\n",
    "\n",
    "- Ji-Sung Kim, 2016, [deepjazz](https://github.com/jisungk/deepjazz)\n",
    "- Jon Gillick, Kevin Tang and Robert Keller, 2009. [Learning Jazz Grammars](http://ai.stanford.edu/~kdtang/papers/smc09-jazzgrammar.pdf)\n",
    "- Robert Keller and David Morrison, 2007, [A Grammatical Approach to Automatic Improvisation](http://smc07.uoa.gr/SMC07%20Proceedings/SMC07%20Paper%2055.pdf)\n",
    "- François Pachet, 1999, [Surprising Harmonies](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.5.7473&rep=rep1&type=pdf)\n",
    "\n",
    "We're also grateful to François Germain for valuable feedback."
   ]
  }
 ],
 "metadata": {
  "coursera": {
   "course_slug": "nlp-sequence-models",
   "graded_item_id": "EG0F7",
   "launcher_item_id": "cxJXc"
  },
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}