Interpretable Recurrent Neural Networks Using Sequential Sparse Recovery

Scott Wisdom, Thomas Powers, James Pitton +1

Recurrent neural networks (RNNs) are powerful and effective for processing sequential data. However, RNNs are usually considered "black box" models whose internal structure and lea…