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November 28th, 2012, 12:37 PM   #1
Joined: Nov 2012

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Neural networks - backpropagation


I am trying to learn neural networks and I am reading a book called: Machine Learning:
An Algorithmic Perspective. This book can be found from google books. Hopefully this link works: (

I am not able to follow what happens in formula 3.48 on page 90. I can not understand why the h_k is equivalent with only one activation function instead of sum of activation functions multiplied with weights.

Can somebody explain origin of formula 3.48 in more details?

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backpropagation, networks, neural

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