Training usually shuffles and divides the data into batches, updating parameters after each batch. Multiple epochs expose the model to examples repeatedly, but too many can increase overfitting.
An epoch is one complete pass through the examples in a training dataset.
Training usually shuffles and divides the data into batches, updating parameters after each batch. Multiple epochs expose the model to examples repeatedly, but too many can increase overfitting.