Hello Rokibul,
There are a few ways which can be used to save the weights of a Convolutional Neural Network (CNN) at each iteration or epoch.
- “getwb” function – This MATLAB function can be utilised if working with Neural Network Toolbox. It retrieves the weights and biases of a network as a single vector. Please use the documentation link for further details: https://www.mathworks.com/help/deeplearning/ref/getwb.html
- For Convolutional Neural Networks (CNNs) created using the Deep Learning Toolbox, the weights can be accessed through the “Layers” property of the network. Firstly, access a specific layer using indexing, and then directly access the “Weights”. If you want to extract “weights” from all layers, a “for loop” can be used.
% Assume 'net' is your trained network
% Access the first convolutional layer
convLayer = net.Layers(2); % Adjust the index to match your network
% Extract weights
weights = convLayer.Weights;
I hope it helps your query!
