Weight and Bias from a Neural Network
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massimiliano de martino on 6 Apr 2018
Commented: KAE on 9 Oct 2018
Hello to everybody, I'm using Neural Network to solve a problem which can be composed by a different number of input and output, particularly Neural Network used is a 4 Layer NN so composed (First Layer 20 Neurons - Second Layer 15 Neurons -Third Layer 10 Neurons - Fourth Layer 5 Neurons ).I need to know Neural Network weight. Here it's the problem, when i have a small number of input and output,i use the _getwb_ command which allows me to calculate NN weight and bias. Otherwise when input and output number grows up getwb command give me as result this message: '0×1 empty double column vector'. How can i get weight when numeber of input and output (and so number of weight) grows up ?? I apologize for my English which is not perfect.
Brendan Hamm on 6 Apr 2018
I'm not sure why you would get a 0x1 empty double column vector. You may need to post some code to help figure this piece out.
You can also try simply indexing the weights from the network:
IW = net.IW; % Cell containing the Input Weights
b1 = net.b; % Cell containing the biases
LW = net.LW; % Cell containing the layer weights
Note, many elements of the cell will likely be empty (excepting the bias weights), but you will have matrices of the weights in the non-empty cells.
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massimiliano de martino on 10 Apr 2018
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