Hidden layer activations with Neural Network Toolbox

2011 9 23
3 个回答
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更新时间：2016 9 2
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Hello,
I have recently started using Matlab's Neural Network Toolbox, after some years of working with Netlab. Does anybody know how to get the activations (=output of the transfer function) of the hidden layers?
So if I create a 4-2-4 network:
net = feedforwardnet(2,'trainlm');
net = configure(net,randn(4,10),randn(4,10));
inp = randn(4,1);
out = sim(net, inp);
How can I then find the output of the hidden layer?
Regards,
Martijn

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Greg Heath
Greg Heath 2016-9-2

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The easiest way to obtain the hidden layer output of a I-H-O net is to just use the weights to create a net with no hidden layer with topology I-H.
Hope this helps.
Thank you for formally accepting my answer
Greg

更多回答（2 个）

Martijn Onderwater
Martijn Onderwater 2011-9-23

0 个投票

Ah, got it. I calculated the activations myself, but I missed the fact that MNNT pre- and postprocesses data. See this post for a solution.
HunterE
HunterE 2016-8-25

0 个投票

You can also use genFunction to generate a .m file which should exactly reproduce the model in your net object. Then you can edit the resulting .m file to cause it to return the activations. For larger networks this is more practical than re-coding it yourself.
However, is there really no easier way to access the hidden layer activations??? If so this is a serious oversight!!

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