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## Sigmoid Fonction transition for Neural Network

Hello

In this lectures said that b is where the transition happen.

But on the Neural network we add a coefficient : -w

b :w.With the correction on Open question 17 from examen 2018 , we see that for a transition to happen at 1/3 , it set b = -1/3

So where the transition happen on a 1-D neural network ? b or -w*b ?

I think "b is where the transition happen" means we adjust b to shift the decision boundary, while in theoretical analysis, b is actually proportional to w if you want to get a integer solution, because x is scaled by w

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