Definition
A significant drawback in sequential learning where a neural network rapidly and completely loses information learned from previous tasks when trained on a new, distinct task.
In short: A significant drawback in sequential learning where a neural network rapidly and completely loses information learned from previous tasks when trained on a new, distinct task.