回答編集履歴
3
class_modeの設定を見逃していました．
test
CHANGED
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@@ -4,21 +4,14 @@
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```Python
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seed = 1 # 共通の乱数seedを使うことでshuffleしても同じ順に取り出されるようにする．
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train_datagen
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train_datagen = ImageDataGenerator(rescale=1.0 / 255, seed = seed)
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train_data
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train_data = train_datagen.flow_from_directory(
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directory = train_data_dir, target_size = (img_height, img_width), color_mode='grayscale',
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class_mode='input', batch_size=batch_size, shuffle=True, seed = seed
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)
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train_datagen_output = ImageDataGenerator(rescale=1.0 / 255, seed = seed)
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train_data_output = train_datagen_output.flow_from_directory(
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directory = train_data_dir, target_size = (img_height, img_width), color_mode='grayscale',
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class_mode='input', batch_size=batch_size, shuffle=True, seed = seed
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)
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train_generator = zip(train_datagen_input, train_datagen_output) # 1つにまとめる
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autoencoder.fit(
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train_
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train_data,
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epochs=50,
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batch_size=128,
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shuffle=True,
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@@ -26,4 +19,3 @@
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)
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```
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-
ちなみに`train_datagen_input`と`train_datagen_output`をまとめたくなる気持ちはわかりますが`zip()`の実装的に画像が正しく取り出されないので，冗長に見えますが上のように記述するようにしてください．
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2
fix typo
test
CHANGED
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@@ -18,7 +18,7 @@
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train_generator = zip(train_datagen_input, train_datagen_output) # 1つにまとめる
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autoencoder.fit(
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train_
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train_generator,
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epochs=50,
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batch_size=128,
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shuffle=True,
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1
fixed correct answer
test
CHANGED
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@@ -18,8 +18,7 @@
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train_generator = zip(train_datagen_input, train_datagen_output) # 1つにまとめる
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autoencoder.fit(
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train_data,
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train_datagenerator,
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train_data,
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epochs=50,
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batch_size=128,
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shuffle=True,
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