Learning to Remember: Distilling Memory Retention for Compact Recurrent Neural Networks

Deep learning models, particularly recurrent neural networks and their variants, such as long short-term memory, have significantly advanced time series analysis. These models capture complex, sequential patterns in time series, enabling real-time assessments.