training
Epoch
One complete pass through the entire training dataset during model training. Models typically require multiple epochs to converge, with each epoch refining the learned patterns. Too few epochs lead to underfitting, while too many can cause overfitting.
In practice
Training a model for 100 epochs means the model sees every training example exactly 100 times.