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.
Computer vision is a field of AI that focuses on training machines to understand and interpret images and videos. By analysing visual data, machines…