keras

Keras: .predict returns percentages instead of classes

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I am building a model with 3 classes: [0,1,2]
After training, the .predict function returns a list of percentages instead.
I was checking the keras documentation but could not figure out, what I did wrong.
.predict_classes is not working anymore, and I did not have this problem with previous classifiers. I already tried different activation functions (relu, sigmoid etc.)
If I understand correctly, the number inDense(3...) defines the amount of classes.

ValueError: Error when checking target: expected model_2 to have shape (None, 252, 252, 1) but got array with shape (300, 128, 128, 3)

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hi I am building a image classifier for one-class classification in which i’ve used autoencoder while running this model I am getting this error by this line (autoencoder_model.fit) (ValueError: Error when checking target: expected model_2 to have shape (None, 252, 252, 1) but got array with shape (300, 128, 128, 3).)