You can refer to List of Deep Learning Layers for the available layers and Deep Learning Custom Layers to create a custom layer for your problem.
Add variable as input parameter in deep learning model
I am working on CNN model which increases pixel value of input image by x times. Here, the value of x is different for each pixel, which can be managed by CNN. I also want the value of x to be decided differently based on another variable. However, CNN model only takes image as input. How can I add another additional variable with image as input for CNN model?
Kshitij Singh answered .
2025-11-20
%% Define muliple input network.
layers1 = [
imageInputLayer([28 28 3],'Name','input')
convolution2dLayer(3,3,'Padding','same','Name','conv_1')
multiplicationLayer(2,'Name','mul')
regressionLayer('Name','regression')];
lgraph = layerGraph(layers1);
layers2 = [imageInputLayer([28 28 3],'Name','x')];
lgraph = addLayers(lgraph,layers2);
% Connect layers.
lgraph = connectLayers(lgraph,'x','mul/in2');
% Analyze network.
analyzeNetwork(lgraph)