LSTM classification

Introduction. Long short term memory (LSTM) is a model that increases the memory of recurrent neural networks . Recurrent neural networks hold short term memory in that they allow earlier determining information to be employed in the current neural networks. For immediate tasks, the earlier data is used.

From working of both layers i.e., LSTM and GRU, GRU uses less training parameter and therefore uses less memory and executes faster than LSTM whereas LSTM is more accurate on a larger dataset .

The Long Short-Term Memory network , or LSTM for short, is a type of recurrent neural network that achieves state-of-the-art results on challenging prediction problems.