2017-06-05 47 views
2

我想按照这个link打造深的自动编码层dense_6不相容的,但我得到这个错误:ValueError异常:输入0是在keras

ValueError: Input 0 is incompatible with layer dense_6: expected axis -1 of input shape to have value 128 but got shape (None, 32)

代码:

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) 

任何建议或意见是极大的赞赏。谢谢。

+0

您可以检查您的keras配置文件中定义的input_shape。详细信息可以在这篇文章中找到https://stackoverflow.com/questions/40135370/keras-getting-wrong-output-shape/40137162#40137162 – pyan

回答

0

this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)))) 
+0

你看过我的回答吗? –

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