how can I access the outputs of the hidden layers in a neural network?

I have a 2 hidden layer network. I trained it using a set of input output data but after training I want to access the outputs of the hidden layers for applying SVD on the hidden layer output. Please let me know how can I do it.
Thank You.

1 Kommentar

is there any way to access the outputs of hidden layers with this? net.outputs{i}.processParams

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 Akzeptierte Antwort

Greg Heath
Greg Heath am 4 Jun. 2014
Bearbeitet: Greg Heath am 6 Jun. 2014
Take the I-H-O net and create an I-H net with no hidden layer.
See the section in the documentation on custom nets.
ADDITION:
Or, you can just write the code. If there is no normalization
IW = cell2mat(net.IW); b1 = cell2mat(net.b{1});
h = tansig( IW*x + repmat( b1,H,N ) );
Hope this helps.
Thank you for formally accepting my answer.
Greg

5 Kommentare

Thank you very much sir.
You can thank him by "Accepting" his answer.
Sriharsha
Sriharsha am 5 Dez. 2018
Bearbeitet: Greg Heath am 5 Dez. 2018
what are X,H,N here?
input matrix
number of hidden nodes
number of data points
HTH
GREG

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