Hyperparameters are parameters that are set before the training of an AI model. They control the behaviour and performance of the model, such as learning rate, batch size, and regularisation strength. Selecting appropriate Hyperparameters is crucial for optimising model performance and improving accuracy.
Incremental Learning is an AI technique that allows models to continuously learn from new data without retraining from scratch. Instead of training the model…