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.
A convolutional neural network is a powerful deep learning model designed for processing and analysing visual data. It excels in tasks such as image…
