How can I freeze specific weights of Neural network model?

94 次查看(过去 30 天)
I need to set some specific weights before training, and keep these weights fixed during training


Utkarsh 2020-6-18
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 个评论
Ahmad Gad
Ahmad Gad 2021-8-25
编辑:Ahmad Gad 2021-8-25
Can I do the same for a shallow network? And using which function?


更多回答(0 个)


Help CenterFile Exchange 中查找有关 Image Data Workflows 的更多信息


Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by