How can I freeze specific weights of Neural network model?

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

Answer 1

[Utkarsh]

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 

[Ahmad Gad]

Can I do the same for a shallow network? And using which function?