What is Hyperparameters?

Skill Level:

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.

Other Definitions

Virtual Reality (VR) allows users to experience and interact with artificial, computer-generated environments. By immersing users in virtual worlds, businesses can create engaging and…
Uncertainty in AI refers to the unpredictability or lack of full knowledge about a situation or outcome. AI models often encounter uncertainties due to…
Clustering in AI refers to the process of grouping similar data points together based on their inherent characteristics or attributes. By identifying patterns or…