I'm a newbie in Convolutional Neural Networks. I have found out that kernels in convolutional layers are usually learned while training.
Suppose I have a kernel that is very good to extract the features that I want to extract. In that case, I don't want the kernels to be learnable. So, how can I make the kernels non-learnable and set them manually?
Maybe, in that case, I have to use something different from a CNN.