Hyperparameters

Since ML algorithms have the capability to learn the parameters that make them operate, the parameters that regulate how the learning takes place are named “hyper”-parameters.

Examples:

• Learning rate
• Epochs
• Early Stop
• Generation size
• Mutation rate
• Number of clusters
• Neural network architecture
• Activation function
• Weight initialization values