Implement GradFn_crossentropy and fix GradFn_softmax #8
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Gradient Functions:
GradFn_crossentropy
for proper backpropagation, withoutGradFn_crossentropy
the loss Tensor is disconnected from the rest of the computational graph.GradFn_softmax
to index correctly and store only the vector jacobian product. The existing function crashes the program as it tries to access out of range index, once the computational graph is connected (mentioned above) and the backward pass reaches this function.