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What is the equation for linear output of a hidden_layer in shallow neural network, if X is of shape (num_features, num_samples) and W is of shape(num_neurons, num_input)?

Z = W.transpose(X) + b

Z = W.X+b  

Z = X.W + b

Z = transpose(W).X +b

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Z = W.X+b

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