Ask AI: Can you tell me more about catastrophic forgetting? Please provide examples.

Catastrophic forgetting is a phenomenon in which a neural network that has been trained to perform a task begins to lose its ability to accurately recognize patterns and complete the task after being exposed to new information. This happens because the neural network has overwritten its stored knowledge in order to learn the new information. For example, when a neural network is trained to identify objects in images, it might begin to forget how to accurately identify some of the objects after being trained with a new set of images. Additionally, when a neural network is trained to play a game such as chess, it might begin to forget the strategies it has learned after being exposed to a new game.