Thanks @ptrblck. I have a separate question for you.
For an EEG time series input I’m using a 1D CNN to look for N seizure events. Is there a built in pytorch function to output regressive events (to indicate seizure intensity on a continuous spectrum [0, inf])? This seems a bit niche. My first hunch is to look into making a decoder which takes the CNN feature map and then decodes the N events until it reaches a stopping condition. (Like a seq2seq model)