Publication | Closed Access

Gradient-based learning drives robust representations in recurrent neural networks by balancing compression and expansion

Artificial IntelligenceSequence ModellingEngineeringMachine LearningSparse Neural NetworkAutoencodersSequential LearningRecurrent Neural NetworksComputer ScienceRecurrent Neural NetworkDrives Robust Representations