Dear Piotr,
I read your detailed reply for this example but I am still “lost in dimentions”. I would like to try my luck and ask you to help me out.
My data is about patients, it has a shape of 239 (number of patients), 49 (rows per each patient that is time stamps), 5 (features).  The output is a binary label - one per patient, thus the shape is 239.
I assume for my case I should use Conv1d. I am then lost with what is what… as per your reply I start thinking that number of in-channels is the number of features in my case and the length is 49 (rows). If that is right does it mean I have to somehow transpose the tensor so that my shape is 239,5,49? I am getting lost here.
Thank you in advance for any comments…
Best regards,
Alice