The Power of the Forget Gate in Neural Networks

This chapter examines the critical role of the forget gate within long short-term memory (LSTM) networks, emphasizing its significance in enhancing computational efficiency. It discusses the historical evolution of recurrent neural networks, challenges faced, and innovative architectures that improve performance in processing sequences. Additionally, the narrative highlights the concept of selective learning, illustrating the importance of knowing what to forget in optimizing neural network function.