What is Catastrophic Forgetting in Deep Learning Systems?

Catastrophic Forgetting occurs when neural networks lose previously learned knowledge while learning new tasks.

Traditional neural networks struggle with continual learning because updating parameters for new tasks often overwrites information learned from previous tasks.

This is especially problematic in:

Why it happens:

Consequences: