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[Bug-gnubg] Backpropagation in neural net.
From: |
Øystein Johansen |
Subject: |
[Bug-gnubg] Backpropagation in neural net. |
Date: |
Thu, 22 Mar 2007 12:53:08 +0100 |
Gary or Joseph,
I'm studying the backpropagation implemetation in neuralnet.c (NeuralNetTrain).
I notice that the weights are not updated according to derivative of the
sigmoid function. (In fact the sigmoid function is not called at all in this
function.) I have tried to find an explanation of this in litterature, but I've
not found any.
Can you please explain how this works and why it works, and/or suggest a
reference to a book where this algoritm is explained?
And what's the difference of NeuralNetTrain and NeuralNetTrainS? Is the
difference just that NeuralNetTrainS doesn't update the output weights? When is
this used?
-Øystein
- [Bug-gnubg] Backpropagation in neural net.,
Øystein Johansen <=