Hi @nusco,
I have a question regarding the dimension numbers of the matrices shown in the picture on page 118. What I am currently struggling with is, node “h_0” is used for bias purpose (which means constant value 1). So if weight vector w_1 has 201 columns, this implies that all hidden nodes h_0, h_1, … h_200 are calculated via w_1 … but looking in the code-snipets on page 122,
h = sigmoid(np.matmul(prepend_bias(X), w1))
vector h should have 202 entries, if w1 has 201, which doesn’t fit into the picture of page 118, or?
Thanks a lot,
Mscdit