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
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

Gated RNN - Comparisons