- set-eval-mode! layerprocedure
Shorthand for (set-training-mode! layer #f). Sets the layer to evaluation mode.
Training vs Evaluation Mode:
Training Mode ((set-training-mode! layer #t)):
- Batch normalization uses batch statistics (mean and variance computed from current batch)
- Dropout is active (if implemented)
- Stochastic behavior enabled
- Running statistics updated
Evaluation Mode ((set-eval-mode! layer)):
- Batch normalization uses running statistics (accumulated during training)
- Dropout is disabled
- Deterministic behavior
- Running statistics frozen