Bi-directional LSTM (Long short-term memory)

A Bi-directional LSTM is a type of artificial intelligence model designed to understand sequences, like sentences or time series data. Unlike standard LSTMs, which process information in one direction (from past to future), Bi-directional LSTMs read the data both forwards and backwards. This approach allows the model to capture context from both earlier and later parts of the sequence, improving its ability to make predictions or understand meaning. This dual perspective is particularly useful in tasks like language translation, speech recognition, and any application where context plays a crucial role in interpretation.