Hi and welcome back to yet another article in the NLP Tutorials series. So far, we have covered a few important concepts, architectures and projects which are important in the NLP domain, the latest being Recurrent Neural Networks (RNNs). Time to move a step ahead and understand about an architecture which is advanced and performs excellently over RNNs. You heard it right — Long Short Term Memory (LSTMs) networks. Without wasting time, let us first go through a few disadvantages of RNNs and what did not work for them, which in turn will set the context right for understanding LSTM and how it was able to solve the problems of RNNs.
Applied Singularity 