Introduction

One of the most significant challenges in training artificial neural networks is catastrophic forgetting. This problem arises when a neural network trained on one task (Task A) subsequently learns a new task (Task B) and, in the process, forgets how to perform the original task. In this article, we will explore a method to address this issue known as Elastic Weight Consolidation (EWC). EWC offers a promising approach…