Hi Matt,
I understand that you want to programmatically set the "NumFilters" property of all the convolution layers of the layerGraph object. Since it's a read-only property, as a workaround you can recreate a new layerGraph object and add layers to it while modifying the "NumFilters" property using the "addLayers" function. You can then add connections to the new layerGraph object using the "connectLayers" function. Please refer to the following code snippet:
% Create a new layerGraph
newLayerGraph = layerGraph();
% Iterate through the layers of the original layerGraph
for i = 1:numel(layerGraphObj.Layers)
if isa(layerGraphObj.Layers(i), 'nnet.cnn.layer.Convolution2DLayer')
% Modify the NumFilters property
modifiedConvLayer = convolution2dLayer(layerGraphObj.Layers(i).FilterSize, ...
layerGraphObj.Layers(i).NumFilters/2, ...
'Name', layerGraphObj.Layers(i).Name,...
'Padding',layerGraphObj.Layers(i).PaddingMode); % Add other properties used in the original layerGraph
newLayerGraph = addLayers(newLayerGraph, modifiedConvLayer);
else
% Add non-convolutional layers as they are
newLayerGraph = addLayers(newLayerGraph, layerGraphObj.Layers(i));
end
end
% Reconnect the layers
for i = 1:numel(layerGraphObj.Connections.Source)
newLayerGraph = connectLayers(newLayerGraph, layerGraphObj.Connections.Source{i}, ...
layerGraphObj.Connections.Destination{i});
end
Please refer to the following documentation links for more information on the functions used in the above code snippet:
- "addLayers": https://www.mathworks.com/help/deeplearning/ref/nnet.cnn.layergraph.addlayers.html
- "connectLayers": https://www.mathworks.com/help/deeplearning/ref/nnet.cnn.layergraph.connectlayers.html
Hope this helps!
