renamed: percep.py -> sec2_exp1_perceptron.py

renamed: ex1_raise_salary_perceptron.py -> sec2_hwk1_perceptron_salary-raise.py renamed: multi_layer_percep.py -> sec3_exp1_ml-perceptron.py renamed: ex2_credit_risk.py -> sec3_hwk1_ml-perceptron_credit_risk.py renamed: iris_dataset.py -> sec4_exp1_iris_dataset renamed: class_pybrain.py -> sec4_exp2_pybrain_classf.py renamed: class2_pybrain.py -> sec4_exp3_pybrain_classf.py renamed: sklearn-classification.py -> sec4_exp4_sklearn-classification.py renamed: sklearn-regression.py -> sec4_exp5_sklearn-regression.py renamed: neuralnet_tensorflow.py -> sec4_exp6_neuralnet_tensorflow.py renamed: ex3_iris_pybrain.py -> sec4_hwk1_pybrain_iris-ds.py renamed: ex4_sklearn-classification_wine.py -> sec4_hwk2_sklearn_wine-classf.py new file: sec4_hwk3_tensorflow_image-classf.py
cammneto · Jun 17, 2022 · 7f1245e · 7f1245e
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diff --git a/percep.py → sec2_exp1_perceptron.py b/percep.py → sec2_exp1_perceptron.py
diff --git a/ex1_raise_salary_perceptron.py → sec2_hwk1_perceptron_salary-raise.py b/ex1_raise_salary_perceptron.py → sec2_hwk1_perceptron_salary-raise.py
diff --git a/multi_layer_percep.py → sec3_exp1_ml-perceptron.py b/multi_layer_percep.py → sec3_exp1_ml-perceptron.py
diff --git a/ex2_credit_risk.py → sec3_hwk1_ml-perceptron_credit_risk.py b/ex2_credit_risk.py → sec3_hwk1_ml-perceptron_credit_risk.py
diff --git a/iris_dataset.py → sec4_exp1_iris_dataset b/iris_dataset.py → sec4_exp1_iris_dataset
diff --git a/class_pybrain.py → sec4_exp2_pybrain_classf.py b/class_pybrain.py → sec4_exp2_pybrain_classf.py
diff --git a/class2_pybrain.py → sec4_exp3_pybrain_classf.py b/class2_pybrain.py → sec4_exp3_pybrain_classf.py
diff --git a/sklearn-classification.py → sec4_exp4_sklearn-classification.py b/sklearn-classification.py → sec4_exp4_sklearn-classification.py
diff --git a/sklearn-regression.py → sec4_exp5_sklearn-regression.py b/sklearn-regression.py → sec4_exp5_sklearn-regression.py
diff --git a/neuralnet_tensorflow.py → sec4_exp6_neuralnet_tensorflow.py b/neuralnet_tensorflow.py → sec4_exp6_neuralnet_tensorflow.py
diff --git a/ex3_iris_pybrain.py → sec4_hwk1_pybrain_iris-ds.py b/ex3_iris_pybrain.py → sec4_hwk1_pybrain_iris-ds.py
diff --git a/ex4_sklearn-classification_wine.py → sec4_hwk2_sklearn_wine-classf.py b/ex4_sklearn-classification_wine.py → sec4_hwk2_sklearn_wine-classf.py
diff --git a/sec4_hwk3_tensorflow_image-classf.py b/sec4_hwk3_tensorflow_image-classf.py
@@ -0,0 +1,45 @@
+import tensorflow
+import matplotlib.pyplot as plt
+import numpy as np
+from keras.models import Sequential
+from keras.layers import Dense
+from keras.utils import np_utils
+from keras.datasets import fashion_mnist
+
+(x_train, y_train), (x_test, y_test)= fashion_mnist.load_data()
+
+#plt.imshow(x_train[0], cmap='gray')
+#plt.title('Class: ' + str(y_train[0]))
+#plt.show()
+
+x_train = x_train.reshape(60000, 28*28)
+x_test = x_test.reshape(10000, 28*28)
+
+x_train = x_train.astype('float32')
+x_test = x_test.astype('float32')
+
+x_train = x_train/255
+x_test = x_test/255
+
+y_train = np_utils.to_categorical(y_train)
+
+y_test = np_utils.to_categorical(y_test)
+
+network = Sequential()
+network.add(Dense(input_shape=(784,), units=397, activation='relu'))
+network.add(Dense(units=397, activation='relu'))
+network.add(Dense(units=10, activation='softmax'))
+network.compile(loss='categorical_crossentropy', optimizer='adam', metrics=['accuracy'])
+
+history = network.fit(x_train, y_train, batch_size=128, epochs=60)
+
+plt.plot(history.history['loss'])
+plt.show()
+plt.plot(history.history['accuracy'])
+plt.show()
+accuracy_test = network.evaluate(x_test, y_test)
+predictions = network.predict(x_test)
+
+plt.imshow(x_test[0].reshape(28,28), cmap='gray')
+plt.title('Class: ' + str(y_test[0]))
+plt.show()