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Sigmoid Fonction transition for Neural Network


In this lectures said that b is where the transition happen.
But on the Neural network we add a coefficient : -wb :
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 ?



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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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