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What is Understanding Bidirectional RNNs about?

Bidirectional RNNs combine two recurrent neural networks that process input sequences in both forward and backward directions, allowing for predictions that depend on the entire input sequence. They have proven effective in various applications such as handwriting and speech recognition. This concept can be extended to two-dimensional inputs, enabling local information capture while allowing long-range interactions between features.

Author

Kusuma Kruthika

Language

EN