Hyperparameters are parameters set before training that control the learning process, such as:
- the number of nodes in a Neural network
- or k in KNN.
The best ones are found with Hyperparameter Tuning.
Also see:
Hyperparameters are parameters set before training that control the learning process, such as:
The best ones are found with Hyperparameter Tuning.
Also see: