Long Short-Term Memory (LSTM) networks are a modified version of recurrent neural networks, which makes it easier to remember past data in memory. The vanishing gradient problem of RNN is resolved here.
Why did I prefer LSTM in this project implementation?
LSTMs are a special type of recurrent neural networks (RNNs). As we already know, RNNs are a broad category of neural networks with feedback loops, and are capable of “remembering” and using information about previous inputs.