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Commit fe17b13

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MorvanZhouMorvanZhou
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fix bug
1 parent a85d6ab commit fe17b13

2 files changed

Lines changed: 4 additions & 4 deletions

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‎kerasTUT/5-classifier_example.py‎

Lines changed: 2 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -23,8 +23,8 @@
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(X_train, y_train), (X_test, y_test) = mnist.load_data()
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# data pre-processing
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X_train = X_train.reshape(X_train.shape[0], -1) / 255 # normalize
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X_test = X_test.reshape(X_test.shape[0], -1) / 255 # normalize
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X_train = X_train.reshape(X_train.shape[0], -1) / 256. # normalize
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X_test = X_test.reshape(X_test.shape[0], -1) / 256. # normalize
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y_train = np_utils.to_categorical(y_train, nb_classes=10)
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y_test = np_utils.to_categorical(y_test, nb_classes=10)
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‎kerasTUT/7-RNN_Classifier_example.py‎

Lines changed: 2 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -37,8 +37,8 @@
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(X_train, y_train), (X_test, y_test) = mnist.load_data()
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# data pre-processing
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X_train = X_train.reshape(-1, 28, 28) / 255 # normalize
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X_test = X_test.reshape(-1, 28, 28) / 255 # normalize
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X_train = X_train.reshape(-1, 28, 28) / 256. # normalize
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X_test = X_test.reshape(-1, 28, 28) / 256. # normalize
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y_train = np_utils.to_categorical(y_train, nb_classes=10)
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y_test = np_utils.to_categorical(y_test, nb_classes=10)
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