Question: Consider a general neural network with K 1 hidden layers (K weight matrices). All input units, output units, and hidden units have a dimension of

Consider a general neural network with K 1 hidden layers (K weight matrices). All input units, output units, and hidden units have a dimension of D. Assume we have N input vectors. How many scalar multiplications do we need to compute the forward pass? Also, draw the network.

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