An efficient kernel transformation architecture for binary- and ternary-weight neural network inference.
Shixuan ZhengYonggang LiuShouyi YinLeibo LiuShaojun WeiPublished in: DAC (2018)
Keyphrases
- neural network
- network architecture
- inference engine
- neural architecture
- management system
- partial least squares regression
- real time
- learning capabilities
- multi layer
- kernel function
- support vector
- back propagation
- neural network model
- weight update
- pattern recognition
- knowledge base
- knn
- graphical models
- intermediate representations
- neural network is trained
- genetic algorithm
- inference process
- kernel learning
- bayesian networks
- training process
- bayesian inference
- probabilistic inference
- kernel methods
- fault diagnosis