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rasmusbergpalm / DeepLearnToolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

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Issue with the file nnff.m

bnaman50 opened this issue · comments

commented

I was using this toolbox for implementing a simple neural network. But I have a doubt. The way you are calculating the output of the hidden layers is ( nn.a{i} = sigm(nn.a{i - 1} * nn.W{i - 1}'); ), ignoring the bias term 'b'. Can you help me out with that or tell me if it's required or not.

commented

Bias term is simulated by having one of the inputs 1 all time. Then bias corresponds to weight of this item. These lines in the start of nnff.m implement it:

x = [ones(m,1) x];
nn.a{1} = x;
commented

Thanks a lot for your help.