Residual Shuffle-Exchange Network

The Residual Shuffle-Exchange Network, or RSE Network, is an innovative model used in machine learning that provides an alternative to attention mechanisms. This model is used to identify and learn patterns in sequences, such as in music transcription. RSE Networks are efficient and able to run in real-time, making them suitable for audio processing. What is an RSE Network? An RSE Network is a sequence model that incorporates residual connections and a shuffle-exchange operation to establish