Backpropagation and Catastrophic Forgetting in Neural Networks

The chapter delves into the intricacies of backpropagation in neural networks and how it adjusts connections to influence outcomes, drawing parallels to the forecasting of a hurricane formation. It also explores the concepts of catastrophic forgetting and remembering, highlighting the challenges AI faces in retaining past training when presented with new data. The discussion touches on potential solutions to mitigate these issues and considers the broader implications of AI advancements on the workforce.