Neuroevolution is a type of AI learning that combines neural networks and evolutionary algorithms. Neuroevolution algorithms evolve neural networks over generations, adapting them to solve specific tasks. This approach is used in robotics, autonomous vehicles, and games.
Hyperparameters are parameters that are set before the training of an AI model. They control the behaviour and performance of the model, such as…
