質問編集履歴
4
モデル関連の追記
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KerasのGenerator（fit_generator）の
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```
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shapeが間違っているエラーのようですが、どのように修正すれば良いかご教授ください
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dimension(shape)が間違っているエラーのようですが、どのように修正すれば良いかご教授ください
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input_shape = (1,n,4*4)
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# 畳み込みニューラルネットワークを定義
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model = Sequential()
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model関連の追記修正
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# 畳み込みニューラルネットワークを定義
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model = Sequential()
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model.add(Conv2D(filters=32, kernel_size=(3,3), activation='relu', input_shape=input_shape))
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model.add(Conv2D(filters=64, kernel_size=(3,3), activation='relu'))
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model.add(MaxPooling2D(pool_size=(2, 2)))
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model.add(Dropout(0.25))
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model.add(Flatten())
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model.add(Dense(units=128, activation='relu'))
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model.add(Dropout(0.5))
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model.add(Dense(units=n_classes, activation='softmax'))
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# モデルのコンパイル
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model.compile(loss=keras.losses.categorical_crossentropy, optimizer=keras.optimizers.Adadelta(), metrics=['accuracy'])
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# steps_per_epochはその名のとおり、1epochのstep数で、基本はデータ数 / バッチサイズ = int(srcdlen / batchsize)
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history = model.fit_generator(
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エラー内容が違っていましたので修正しました。
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KerasのGenerator
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```Python
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# プログラムで表示
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Epoch 1/10
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# エラー内容
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ValueError Traceback (most recent call last)
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<ipython-input-56-5381014b3057> in <module>()
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131 steps_per_epoch=int(np.ceil(srcdlen / batch_size)),
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/home/user/.pyenv/versions/anaconda3-4.4.0/lib/python3.6/site-packages/keras/engine/training.py in fit_generator(self, generator, steps_per_epoch, epochs, verbose, callbacks, validation_data, validation_steps, class_weight, max_q_size, workers, pickle_safe, initial_epoch)
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1900 outs = self.train_on_batch(x, y,
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1901 sample_weight=sample_weight,
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-> 1902 class_weight=class_weight)
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1904 if not isinstance(outs, list):
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/home/user/.pyenv/versions/anaconda3-4.4.0/lib/python3.6/site-packages/keras/engine/training.py in train_on_batch(self, x, y, sample_weight, class_weight)
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1634 sample_weight=sample_weight,
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1635 class_weight=class_weight,
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-> 1636 check_batch_axis=True)
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1637 if self.uses_learning_phase and not isinstance(K.learning_phase(), int):
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1638 ins = x + y + sample_weights + [1.]
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/home/user/.pyenv/versions/anaconda3-4.4.0/lib/python3.6/site-packages/keras/engine/training.py in _standardize_user_data(self, x, y, sample_weight, class_weight, check_batch_axis, batch_size)
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1309 self._feed_input_shapes,
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1310 check_batch_axis=False,
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-> 1311 exception_prefix='input')
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1312 y = _standardize_input_data(y, self._feed_output_names,
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1313 output_shapes,
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/home/user/.pyenv/versions/anaconda3-4.4.0/lib/python3.6/site-packages/keras/engine/training.py in _standardize_input_data(data, names, shapes, check_batch_axis, exception_prefix)
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125 ' to have ' + str(len(shapes[i])) +
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126 ' dimensions, but got array with shape ' +
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--> 127 str(array.shape))
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128 for j, (dim, ref_dim) in enumerate(zip(array.shape, shapes[i])):
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ValueError: output o
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ValueError: Error when checking input: expected conv2d_71_input to have 4 dimensions, but got array with shape (1000, 160, 16)
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```
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def flow_from_datafile内の以下の行
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yield inputs, targets
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shapeが間違っているエラーのようですが、どのように修正すれば良いかご教授ください
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いろいろ試してみましたがうまくいかないので、御教授ください。
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1
エラー内容の追加
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```Python
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# エラー箇所は以下となっています。
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# エラー箇所は以下となっています。（プログラムの一番下のところ「model.fit_generator」）
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steps_per_epoch=int(np.ceil(srcdlen / batch_size)),
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# エラー内容
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---------------------------------------------------------------------------
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ValueError Traceback (most recent call last)
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131 steps_per_epoch=int(np.ceil(srcdlen / batch_size)),
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132 epochs=epochs,
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--> 133 verbose=1)
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134 #validation_data=test_datagen.flow_from_datafile(n_classes, batch_size, tstdlen),
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135 #validation_steps=int(np.ceil(tstdlen / batch_size)))
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/home/user/.pyenv/versions/anaconda3-4.4.0/lib/python3.6/site-packages/keras/legacy/interfaces.py in wrapper(*args, **kwargs)
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86 warnings.warn('Update your `' + object_name +
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87 '` call to the Keras 2 API: ' + signature, stacklevel=2)
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---> 88 return func(*args, **kwargs)
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89 wrapper._legacy_support_signature = inspect.getargspec(func)
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90 return wrapper
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/home/user/.pyenv/versions/anaconda3-4.4.0/lib/python3.6/site-packages/keras/models.py in fit_generator(self, generator, steps_per_epoch, epochs, verbose, callbacks, validation_data, validation_steps, class_weight, max_q_size, workers, pickle_safe, initial_epoch)
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1122 workers=workers,
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1123 pickle_safe=pickle_safe,
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-> 1124 initial_epoch=initial_epoch)
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1126 @interfaces.legacy_generator_methods_support
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86 warnings.warn('Update your `' + object_name +
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87 '` call to the Keras 2 API: ' + signature, stacklevel=2)
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---> 88 return func(*args, **kwargs)
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89 wrapper._legacy_support_signature = inspect.getargspec(func)
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90 return wrapper
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/home/user/.pyenv/versions/anaconda3-4.4.0/lib/python3.6/site-packages/keras/engine/training.py in fit_generator(self, generator, steps_per_epoch, epochs, verbose, callbacks, validation_data, validation_steps, class_weight, max_q_size, workers, pickle_safe, initial_epoch)
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1875 'a tuple `(x, y, sample_weight)` '
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1876 'or `(x, y)`. Found: ' +
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-> 1877 str(generator_output))
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1878 if len(generator_output) == 2:
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1879 x, y = generator_output
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ValueError: output of generator should be a tuple `(x, y, sample_weight)` or `(x, y)`. Found: None
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```
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