Hi I am new to D.L . I know how back propagation works but in CNN how does back propagation works and how does the kernel values get initialized when we set only the filter size
# Here we are only giving the kernel_size =5
torch.nn.Conv2d(3, 16, 5, stride=1, padding=0)