bias w0=0.15 and w01=0.5. Assume the intercept of the combination function is 0.
Basically, I am studying for my exam and I don't understand how to calculate this question about neural network:
1) the output of H1 and H2
2) the output of node 1.
Thank you.
Best Answer
The arrows are weights, the nodes store values. You multiply the values by weights. So if you take the part of a graf:
it means
h = x[0]w[0] + x[1]w[1] + x[2]w[2] + b
, whereb
is bias term. So basically,h
is a result of dot product between vector of values and a vector of weights.