Analog CMOS-based Resistive Processing Unit for Deep Neural Network Training.
Seyoung KimTayfun GokmenHyung-Min LeeWilfried E. HaenschPublished in: CoRR (2017)
Keyphrases
- neural network training
- processing units
- analog vlsi
- cmos image sensor
- parallel processing
- circuit design
- neural network
- training algorithm
- parallel computing
- computing systems
- focal plane
- optimization method
- analog to digital converter
- floating gate
- multiple types
- particle swarm optimisation
- optimization algorithm
- genetic algorithm
- data sets
- recurrent neural networks
- power consumption
- back propagation
- dynamic range
- evolutionary algorithm
- pairwise
- information systems
- learning algorithm
- machine learning
- real world