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

Object Detection is an AI technique that identifies and localises objects within an image or video. It involves analysing the visual data and assigning…
Decision networks, also known as Probabilistic Graphical Models, are a type of AI model that represents uncertain knowledge using a graph structure. Decision Networks…
Knowledge-Based Systems are AI systems that utilise domain-specific knowledge and rules to make informed decisions or provide expert advice. These systems incorporate human expertise…
One-Shot learning is an AI approach that enables models to learn from only one or a few examples. This approach is advantageous in tasks…