Machine Learning, Neural Networks, NLP, Deep Learning.
than conventional RNNs [9]. LSTM does not use activation function within its recurrent components, the stored values are not modified, and the gradient does not tend to vanish during training. Usually, LSTM units are implemented in “blocks” with several units. These blocks have three or four