Hi everyone
I have a question and hope that someone could help me out.
I am confused about how Conv1d(in_channels ,out_channels, kernel_size) is working? I was always thinking that the out_channels is equal to the number of channels that conv1d is using due to extract features from my data, However in Andrew N.J videos I have seen that number of channela have to be equal for both input data and filters in cov layer.
I am now really confused that what actually channels mean here?
Thank you.