ValueError：输入 0 与 keras 中的层密集_6 不兼容

Question

我正在尝试按照此链接构建深度自动编码器，但出现此错误：

值错误：输入 0 与层密集_6 不兼容：输入形状的预期轴 -1 具有值 128 但得到形状（无，32）

编码：

input_img = Input(shape=(784,))
encoded = Dense(128, activation='relu')(input_img)
encoded = Dense(64, activation='relu')(encoded)
encoded = Dense(32, activation='relu')(encoded)

decoded = Dense(64, activation='relu')(encoded)
decoded = Dense(128, activation='relu')(decoded) #decode.shape = (?,128)
decoded = Dense(784, activation='relu')(decoded)

autoencoder = Model(input_img, decoded)

encoder = Model(input_img, encoded)
encoded_input = Input(shape=(encoding_dim,))
decoder_layer = autoencoder.layers[-1]
decoder = Model(encoded_input, decoder_layer(encoded_input)) #ERROR HERE
...

这是我得到的错误：

Traceback (most recent call last):
  File "autoencoder_deep.py", line 37, in <module>
    decoder = Model(encoded_input, decoder_layer(encoded_input))
  File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/keras/engine/topology.py", line 569, in __call__
    self.assert_input_compatibility(inputs)
  File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/keras/engine/topology.py", line 479, in assert_input_compatibility
    ' but got shape ' + str(x_shape))
ValueError: Input 0 is incompatible with layer dense_6: expected axis -1 of input shape to have value 128 but got shape (None, 32)

非常感谢任何建议或评论。谢谢你。

Answer 1

按照这个答案尝试：

# retrieve the last layer of the autoencoder model 
decoder_layer1 = autoencoder.layers[-3]
decoder_layer2 = autoencoder.layers[-2]
decoder_layer3 = autoencoder.layers[-1]

# create the decoder model
decoder = Model(input=encoded_input, 
output=decoder_layer3(decoder_layer2(decoder_layer1(encoded_input))))