I have seen that in the material made by Andrew Ng about neural networks, he uses the following weights:
so when I replace the final values of h_theta(x) in the formula:
I got values near 0 and 1.
The problem that I have is when I use the values that are in the Tom Mithell book about Machine Learning, he uses the values w0=-0.8, w1=w2=0.5. I have performed the calculations and got the values of h_theta(x) as the following:
but when I replace these set of values into the formula of the sigmoid function I got:
that does not differentiate too much about which values are near 0 and which near 1, something that did not occur with the values that Andrew Ng proposed for the weights. Am I missing something? in this case it would be better to select big values for the weights instead of small ones?
Any help for clarifying this is welcome