How can I freeze specific weights of Neural network model?

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

Accepted Answer

Utkarsh on 18 Jun 2020
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
  1 Comment
Ahmad Gad
Ahmad Gad on 25 Aug 2021
Edited: Ahmad Gad on 25 Aug 2021
Can I do the same for a shallow network? And using which function?

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