Overcoming Catastrophic Forgetting: A Simple Guide to Elastic Weight Consolidation

A Practical Approach to Continual Learning with Neural Networks

The Problem of Catastrophic Forgetting

In the field of artificial intelligence, deep learning models, especially neural networks, have shown great success in a wide range of applications. However, one major challenge these models face is the phenomenon of Catastrophic Forgetting. Catastrophic forgetting occurs when a neural network learns new tasks and, in the process, forgets previously learned tasks. This limitation hinders the development of lifelong learning systems or …

ai continual-learning deep learning machine learning pytorch