MATLAB: How to freeze specific weights of Neural network model

MATLABneural networkweights update

I need to set some specific weights before training, and keep these weights fixed during training

Best Answer

Hi Abdelwahab,
If you wish to assign those weights in the beginning and keep them as constant, you can set the ‘WeightLearnRateFactor’ property as 0 (which defines the learning rate for that layer) for those layers.
For example, 
convolution2dLayer(3,1,'Padding',[1 1 1 1],'WeightLearnRateFactor',0);
You may refer to this link to learn more about such properties.
Or if you want to fix certain weights to some layers in a trained network , then directly assign those layers the values after training the network. 
 net = alexnet; % or your pre-trained network 
 layer = net.Layers(1) % here 1 can be replaced with the layer number you wish to change 
 layer.Weights = randn(11,11,3,96); %the weight matrix which you wish to assign
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