Bidirectional LSTM
Explore how bidirectional LSTMs enhance text classification by processing sequences forward and backward, allowing better context understanding. Learn to implement BiLSTM using TensorFlow's keras Bidirectional layer and manage LSTM outputs for NLP tasks.
We'll cover the following...
We'll cover the following...
Chapter Goals:
Learn about the bidirectional LSTM and why it's used
A. Forwards and backwards
The language model from the Language Model section of this course used a regular LSTM which read each input sequence in the forwards direction. This meant that the recurrent connections went in the left-right direction, i.e. from time step ttt to time step t+1t + 1t+1.
While regular LSTMs work well for most NLP tasks, they are not always the best option. Specifically, when we have access to a ...