Epoch
One complete pass through the entire training dataset during model training.
In more detail
An epoch is when a model sees all training data once. Training typically involves multiple epochs. Monitoring validation performance across epochs helps detect overfitting (when validation performance degrades while training continues).
Examples
- Training for 100 epochs
- Early stopping after validation loss stops improving
- Epoch-based learning rate decay
Related terms
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