What are the advantages and disadvantages of using long short-term memory (LSTM) cells over simple RNN cells?
Recurrent neural networks (RNNs) are a type of neural network that can process sequential data, such as text, speech, or video. They have a memory that allows them to store and reuse information from previous inputs. However, they also suffer from some limitations, such as the vanishing or exploding gradient problem, which makes it hard to learn long-term dependencies. To overcome these challenges, a special kind of RNN cell called long short-term memory (LSTM) was developed. In this article, you will learn what are the advantages and disadvantages of using LSTM cells over simple RNN cells.