Non-Volatile Memory Array Based Quantization- and Noise-Resilient LSTM Neural Networks

25 Feb 2020Wen MaPi-Feng ChiuWon Ho ChoiMinghai QinDaniel BedauMartin Lueker-Boden

In cloud and edge computing models, it is important that compute devices at the edge be as power efficient as possible. Long short-term memory (LSTM) neural networks have been widely used for natural language processing, time series prediction and many other sequential data tasks... (read more)

PDF Abstract

Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper