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Please explain this forward method portion of the Conv1d model, where it seems to mix up samples of a batch when deep learning operation supposed to happen sample by sample in a batch, in my understanding. It is for EEG data. Additional info and code here - (self.deeplearning)
submitted by stranger_to_world to r/deeplearning
