Epoch
One complete pass through the entire training dataset during the learning process. Models typically train for many epochs.
Key Concepts
Batch
A subset of the training data.
Iteration
One forward and backward pass of a single batch.
Detailed Explanation
An epoch is one complete pass through the entire training dataset. It is a hyperparameter that is used to control the number of times that the model is trained on the entire dataset.
The number of epochs can have a significant impact on the training process. A small number of epochs can lead to underfitting, while a large number of epochs can lead to overfitting.
The optimal number of epochs depends on the specific problem being solved. It is often a good idea to experiment with different numbers of epochs to find the one that works best for your problem.
Real-World Examples & Use Cases
Image Recognition
A model might be trained for 100 epochs on an image recognition task.
Natural Language Processing
A model might be trained for 10 epochs on a natural language processing task.