Hands-On Guide to Bi-LSTM With Attention

Humans do not start learning everything from the beginning; they basically relate the things to each other to make inferences about the new thing in their mind. For example, when they learn how to ride a motorcycle and they already know how to cycle, they don't need to learn about braking or any other basic things because they already know them. Traditional neural networks can't do this. They are networks with various loops to persist the information and LSTM(long short term memory) are a special kind of recurrent neural networks. Which are very useful when dealing with sequential data like time series data and NLP data.