
Implementing LSTM from scratch in PyTorch step-by-step.
LSTM from Scratch In this post, we will implement a simple next word predictor LSTM from scratch using torch. A gentle Introduction to LSTM Long Short Term Memory networks – usually just called “LSTMs” – are a special kind of RNN, capable of learning long-term dependencies. They were introduced by Hochreiter & Schmidhuber (1997). As LSTMs are also a type of Recurrent Neural Network, they too have a hidden state, but they have another memory cell called the cell state as well.