Across
- 2. One complete pass through the training dataset.
- 4. Number of training samples used in one iteration of training.
- 5. Function used in neural networks to introduce non-linearity.
Down
- 1. Measures how well a model's predictions match the actual values.
- 3. The output or result generated by a machine learning model.