Epoch

An epoch is a single iteration of training a neural network on the entire training set.

An epoch is a single iteration of training a neural network on the entire training set. During an epoch, the model sequentially processes each training sample, calculates the loss, and updates its parameters based on the gradients. The number of epochs determines how many times the model iterates through the entire training set, allowing it to learn and refine its parameters over multiple passes.