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Batch / Epoch
Data / Training / Evaluation
Training subsets and full dataset passes.
A batch is a subset of training data processed at once, while an epoch refers to one complete pass over the dataset.
- Purpose: Reduce memory load and stabilize learning.
- Note: Multiple epochs are required for convergence.