recurrent neural networks figure - long short-term memory network practical implementation this section describes practical implementation of an rnn and lstm with pytorch we will divide the exercise into two parts firstwe will use just the vanilla rnn network with no additional processing (from the universe of nlpand train the network over sentiment classification dataset we would expect this vanilla network to perform poorly secondwe will make significant improvements to the network we will leverage lstm layers instead of rnn layers and make the network bidirectional with dropout regularization such network will perform much better on our dataset we will the torchtext packagewhich consists of data processing utilities and popular datasets for nlp we will leverage the dataset hosted on kaggle at