質問編集履歴
2
コードの修正
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@@ -159,6 +159,10 @@
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x_train = x_train.astype('float32') / 255
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x_test = x_test.astype('float32') / 255
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#numpy配列をタプルに変換
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x_train = tuple(x_train)
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x_test = tuple(x_test)
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#各サンプルの平均を0にする
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train_datagen = ImageDataGenerator(samplewise_center=True)
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train_generator = train_datagen.flow(x_train, batch_size=32)
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@@ -298,8 +298,8 @@
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history = vae.fit_generator(train_generator,
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steps_per_epoch=x_train.shape[0] // batch_size,
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epochs=epochs,#20,
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validation_data=validation_generator,
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validation_data=(validation_generator,None),
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validation_steps=
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validation_steps=x_test.shape[0] // batch_size,
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verbose=1,
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callbacks=callbacks)
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