Fix the bug of non-convergence when use SparseCategoricalCrossentropy #1018
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I found that the reason why the model does not converge lies in this SparseCategoricalCrossentropy function, when I change it to CategoricalCrossentropy and do ont-hot on y_train it works well. So the problem is this loss function. I found the from_logits used by the Apply function is not the from_logits that comes in the constructor. So it will always be false even if we specify it as true when we use SparseCategoricalCrossentropy.