Week2 softmax

Because of added more classifications, instead of matrix W, now we have matrix W1, W2, W3,W4. Does it mean instead of two dimensional matrix W, which is number of features * number of units in that layer, now the new matrix W1, W2, W3,W4 will be 3 dimensional, which is number of features * number of units in that layer * number of classes?

@flyunicorn,

Here w_1, w_2, w_3, w_4 are vectors - the columns of matrix W. The number of columns corresponds to the number of classes in the output layer.

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