Hi Divya,
I understand that you are trying to know the process of assigning weights to layers when building an image classification model.
You can assign weights to layers by specifying the “Weights” property for each layer. The “Weights” property allows you to initialize the layer's weights with custom values or pretrained weights.
Please find the below code snippet that demonstrates the process of assigning weights to different layers of a network:
layers = [
imageInputLayer([32 32 3])
convolution2dLayer(3, 16, 'Weights', customWeights) % Specify custom weights for this layer
reluLayer()
fullyConnectedLayer(10, 'Weights', pretrainedWeights) % Specify pretrained weights for this layer
softmaxLayer()
classificationLayer()
];
customWeights = randn([3 3 3 16]); % Example of custom weights for a convolutional layer
pretrainedWeights = load('pretrained_weights.mat'); % Example of pretrained weights for a fully connected layer
net = trainNetwork(trainingData, layers, options); % Create and train the network
Please refer to the below documentation to learn more about “Weights” property:
Hope it helps.
Regards,
Sai Pavan
