Batch Normalized Recurrent Neural Networks

César Laurent, Gabriel Pereyra, Philémon Brakel +2

Recurrent Neural Networks (RNNs) are powerful models for sequential data that have the potential to learn long-term dependencies. However, they are computationally expensive to tra…