Gated Recurrent Neural Networks (Gated RNN) an extension of Recurrent Neural Networks (RNN) that uses “gates” to keep and/or discard information within the cell state Gated RNN - Types Long-Short Term Memory (LSTM) is a type of gated recurrent neural network aimed to deal with the vanishing gradient problem present in traditional RNNs its relative insensitivity to gap length is its advantage over traditional RNNs, hidden Markov models, and other sequence learning methods Link to original Gated Recurrent Unit (GRU) is a type of gated RNN introduced in 2014 by Kyunghyun Cho et al the GRU is like an LSTM with a forget gate, but has fewer parameters than LSTM, as it lacks an output gate Link to original Gated RNN - Comparisons GRU vs LSTM Resources https://distill.pub/2016/augmented-rnns/