Hyperparameter - AshokBhat/ml GitHub Wiki
Description
- Knobs that ML practitioner has to tweak during successive runs of training a model
- Unlike parameters, hyperparameters are not automatically learned
- Example - learning rate
Common hyperparameters
- [Learning rate]] ](/AshokBhat/ml/wiki/[Learning-rate-decay) | [Epoch]]
- Number of [Layer]]s ](/AshokBhat/ml/wiki/[[Activation-function)s of layers
Difference between parameter and hyperparameter
Area | Hyperparameter | Parameter |
---|---|---|
Who decides? | Trainer | Training process |
Example | Number of layers Learning rate Activation functions | Weight Bias |
FAQ
- What is the difference between a parameter and hyperparameter?
- Parameters are automatically learned during the training process.
- Hyperparameters have to be decided by the trainer
See also
- Parameter
- [Learning rate]] ](/AshokBhat/ml/wiki/[[Learning-rate-decay)
- [Epoch]] ](/AshokBhat/ml/wiki/[[Batch-size)
- [Layer]] ](/AshokBhat/ml/wiki/[[Activation-function)