[英]ValueError: ...incompatible with the layer: expected axis -1 of input shape to have value 20 but received input with shape (None, 20, 637)
I hit with the error message on my model;我在模型上遇到错误消息; 'ValueError: Input 0 of layer sequential_5 is incompatible with the layer: expected axis -1 of input shape to have value 20 but received input with shape (None, 20, 637)'
'ValueError: 层序 5 的输入 0 与层不兼容:输入形状的预期轴 -1 具有值 20,但接收到的输入形状为 (None, 20, 637)'
Im not sure how to fix this.我不知道如何解决这个问题。 Code as below;
代码如下;
print(str(audio_train.shape)+''+str(y_train.shape)+''+str(audio_valid.shape))
(700, 20, 637) (700, 2) (236, 20, 637) (700, 20, 637) (700, 2) (236, 20, 637)
model=Sequential()
###first layer
model.add(Dense(100,input_shape=(20,)))
model.add(Activation('relu'))
model.add(Dropout(0.3))
###second layer
model.add(Dense(200))
model.add(Activation('relu'))
model.add(Dropout(0.3))
###third layer
model.add(Dense(100))
model.add(Activation('relu'))
model.add(Dropout(0.3))
###final layer
model.add(Dense(2))
model.add(Activation('softmax'))
model.summary()
adam = tf.keras.optimizers.Adam(learning_rate=0.0001)
model.compile(optimizer = adam, loss = 'categorical_crossentropy', metrics = ['accuracy'])
#fitting the model
Au_model = model.fit(audio_train, y_train, batch_size = 32, epochs = 10, validation_data = (audio_valid, y_valid), verbose=1)
Error message as below;错误信息如下;
ValueError: in user code:
C:\Users\seren\anaconda3\lib\site-packages\tensorflow\python\keras\engine\training.py:855 train_function *
return step_function(self, iterator)
C:\Users\seren\anaconda3\lib\site-packages\tensorflow\python\keras\engine\training.py:845 step_function **
outputs = model.distribute_strategy.run(run_step, args=(data,))
C:\Users\seren\anaconda3\lib\site-packages\tensorflow\python\distribute\distribute_lib.py:1285 run
return self._extended.call_for_each_replica(fn, args=args, kwargs=kwargs)
C:\Users\seren\anaconda3\lib\site-packages\tensorflow\python\distribute\distribute_lib.py:2833 call_for_each_replica
return self._call_for_each_replica(fn, args, kwargs)
C:\Users\seren\anaconda3\lib\site-packages\tensorflow\python\distribute\distribute_lib.py:3608 _call_for_each_replica
return fn(*args, **kwargs)
C:\Users\seren\anaconda3\lib\site-packages\tensorflow\python\keras\engine\training.py:838 run_step **
outputs = model.train_step(data)
C:\Users\seren\anaconda3\lib\site-packages\tensorflow\python\keras\engine\training.py:795 train_step
y_pred = self(x, training=True)
C:\Users\seren\anaconda3\lib\site-packages\tensorflow\python\keras\engine\base_layer.py:1013 __call__
input_spec.assert_input_compatibility(self.input_spec, inputs, self.name)
C:\Users\seren\anaconda3\lib\site-packages\tensorflow\python\keras\engine\input_spec.py:251 assert_input_compatibility
raise ValueError(
ValueError: Input 0 of layer sequential_5 is incompatible with the layer: expected axis -1 of input shape to have value 20 but received input with shape (None, 20, 637)
Appreciate your advice/suggestion.感谢您的意见/建议。
Change改变
model.add(Dense(100,input_shape=(20,)))
To至
model.add(Dense(100,input_shape=(20, 637)))
You can also use input_shape=(audio_train.shape[1], audio_train.shape[2])
instead if you wanted to be a bit more programmatic.如果您想更加程序化,也可以使用
input_shape=(audio_train.shape[1], audio_train.shape[2])
。
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