質問編集履歴
4
文法訂正
test
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test
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@@ -154,7 +154,7 @@
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autoencoder.fit(x,
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epoch=1000,
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epochs=1000,
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batch_size=256,
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@@ -162,11 +162,11 @@
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#学習の進み具合を観察
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def on_epoch_end(epoch):
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def on_epoch_end(epochs):
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print()
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print('Epoch: %d' % epoch)
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print('Epoch: %d' % epochs)
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3
文法訂正
test
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test
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@@ -148,9 +148,7 @@
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autoencoder.compile(optimizer='Adam', loss='categorical_crossentropy')
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plot_model(autoencoder, to_file='AE_model.png')
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#autoencoderの実行
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2
文法訂正
test
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test
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@@ -160,9 +160,7 @@
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batch_size=256,
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shuffle=False
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shuffle=False)
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validation_data=(test_word))
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#学習の進み具合を観察
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1
文法訂正
test
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File without changes
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test
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@@ -148,6 +148,10 @@
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autoencoder.compile(optimizer='Adam', loss='categorical_crossentropy')
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#ネットワーク構造を可視化
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plot_model(autoencoder, to_file='AE_model.png')
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#autoencoderの実行
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autoencoder.fit(x,
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