Using weights of different network to the current network:
for 2 networks net1 & net2, copy the layers to some variable
layers = net1.Layers;
layers(net1layerindex).Weights(net1index) = net2.Layers(net2layerindex).Weights(net2index);
Let's say you want to set weights of a channel of a layer of a CNN to zeros(channelDimension)
layers(convLayerIndex).Weights(:,:,channelIndex) = zeros(channelDimension)
%also
layers(convLayerIndex).Weights(:,:,channelIndex,Index) = zeros(respectiveDimension)
Use the above layers to create a DAG or a Series network. You can also refer to the documentation of the assembleNetwork function which helps creating deep learning networks from layers without training.
I think setting the Learning factor for a specific filter is not possible but you can set it for the whole layer as follows:
layer.WeightLearnRateFactor = 0;
