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a ) Suppose you design a multilayer perceptron with a single hidden layer that has a hard threshold activation function. The output layer uses the

a) Suppose you design a multilayer perceptron with a single hidden layer that has a hard
threshold activation function. The output layer uses the softmax activation function. What will
go wrong if you try to train this network using gradient descent?
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