ValueError: Shape Mismatch: The Shape Of Labels (received (15,)) Should Equal The Shape Of Logits Except For The Last Dimension (received (5, 3))

I am getting this error when trying to fit a model: ValueError: Shape mismatch: The shape of labels (received (15,)) should equal the shape of logits except for the last dimensi

Solution 1:

The difference between sparse_categorical_crossentropy and categorical_crossentropy is whether your targets are one-hot encoded.

The shape of label batch is (5,3), which means it has been one-hot encoded. So you should use categorical_crossentropy loss function.

model.compile(optimizer='adam',
              loss='categorical_crossentropy',
              metrics=['accuracy'])

Solution 2:

I think it is related to your loss function just try to use "categorical_crossentropy" instead of "sparse..."