Given the it won’t be normal to feed a deep learning model the training data all at once (especially if the training data is 1000+) due the available RAM and other factors, I really want to know the effects of running the backward propagation after feeding all batches of data to the model per epoch versus running the backward propagation after feeding the model per batch.
Thanks to anyone who answers this.