I am trying to build a deep autoencoder by following this link, but I got this error:
ValueError: Input 0 is incompatible with layer dense_6: expected axis -1 of input shape to have value 128 but got shape (None, 32)
The code:
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
...
This is the Error I got:
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)
Any suggestion or comment is greatly appreciated. Thank you.