You are correct, compression is essentially extracting latent features in the data and discarding the rest. Auto encoder networks, or networks that have an aut

You are correct, compression is essentially extracting latent features in the data and discarding the rest. Auto encoder networks, or networks that have an auto encoder like structure (U-net) employ essentially compression internally in the model to extract latent features.