s

Generative Adversarial Nets/.ipynb_checkpoints/Untitled-checkpoint.ipynb

@@ -0,0 +1,6 @@
+{
+ "cells": [],
+ "metadata": {},
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

Generative Adversarial Nets/Untitled.ipynb

@@ -0,0 +1,95 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "\n",
+    "def GANsModel(object):\n",
+    "    def __init__(self):\n",
+    "        \n",
+    "        \n",
+    "        \n",
+    "        self.build_model()\n",
+    "        pass\n",
+    "    \n",
+    "    def build_model(self):\n",
+    "        pass\n",
+    "    \n",
+    "    def training(self):\n",
+    "        pass\n",
+    "    \n",
+    "    def discriminator(self):\n",
+    "        pass\n",
+    "    \n",
+    "    def generator(self):\n",
+    "        pass\n",
+    "    \n",
+    "    \n",
+    "    \n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "1.0"
+      ]
+     },
+     "execution_count": 1,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import tensorflow as tf\n",
+    "\n",
+    "# with tf.variable_scope(\"var\") as scope:\n",
+    "#     v = tf.get_variable(\"t\",initializer=1)\n",
+    "#     scope.reuse_variables()\n",
+    "#     v2 = tf.get_variable(\"t\",initializer=1)\n",
+    "\n",
+    "with tf.variable_scope(\"foo\") as scope:\n",
+    "    v = tf.get_variable(\"v\",initializer=1.0)\n",
+    "    scope.reuse_variables()\n",
+    "    v1 = tf.get_variable(\"v\",initializer=1.0)\n",
+    "    \n",
+    "sess = tf.Session()\n",
+    "init = tf.global_variables_initializer()\n",
+    "sess.run(init)\n",
+    "\n",
+    "\n",
+    "sess.run(v)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 2",
+   "language": "python",
+   "name": "python2"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 2
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython2",
+   "version": "2.7.13"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}