How are epochs divided?

Epochs are divided into smaller subsets called batches. During training, the entire dataset is split into these batches, allowing the model to update its weights incrementally after processing each batch. This division helps manage memory usage and speeds up the training process, as the model learns from smaller portions of data at a time. Additionally, multiple epochs involve repeating the training process over the entire dataset multiple times to improve model accuracy.