Bidirectional Long Short-Term Memory (BiLSTM) is a type of recurrent neural network (RNN) architecture that processes sequential data in both forward and backward directions. This dual processing allows BiLSTMs to capture context from both past and future inputs, enhancing their ability to understand complex patterns in data.
Key Features:
- Dual Processing: BiLSTMs consist of two LSTM layers: one processes the input sequence from start to end (forward), while the other processes it from end to start (backward).
- Enhanced Context Understanding: By considering both past and future information, BiLSTMs are particularly effective in tasks where context from both directions is crucial.