ich über diesen link einen tiefen Autoencoder zu bauen bin versucht, aber ich habe diesen Fehler:Valueerror: Eingang 0 ist unvereinbar mit Schicht dense_6 in 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)
Der 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
...
Dies ist der Fehler, den ich bekam:
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)
Jeder Vorschlag oder Kommentar wird sehr geschätzt. Vielen Dank.
Sie können prüfen, die input_shape definiert in Ihrer keras Konfigurationsdatei. Details finden Sie in diesem Beitrag https://stackoverflow.com/questions/40135370/keras-getting-wrong-output-shape/40137162#40137162 – pyan