Nested LSTM: A Novel LSTM Extension for Long-Term Information Processing
Selected from arXiv Author:Vihar Kurama Translated by Machine Heart Contributors: Liu Xiaokun, Li Yazhou Recently, CMU and the University of Montreal proposed a novel multi-level memory RNN architecture—Nested LSTM. When accessing internal memory, Nested LSTM has greater flexibility compared to traditional Stacked LSTM, allowing it to handle longer temporal scales of internal memory; experiments also … Read more