: Accelerating Attention Mechanisms in Neural Networks with Approximation.
Tae Jun HamSungjun JungSeonghak KimYoung H. OhYeonhong ParkYoonho SongJung-Hun ParkSanghee LeeKyoung ParkJae W. LeeDeog-Kyoon JeongPublished in: CoRR (2020)
Keyphrases
- neural network
- pattern recognition
- artificial neural networks
- building blocks
- back propagation
- fault diagnosis
- visual attention
- approximation methods
- multilayer perceptron
- artificial intelligence
- information systems
- mechanism design
- mechanisms underlying
- approximation algorithms
- multi layer perceptron
- efficient computation
- database
- genetic algorithm
- feedforward neural networks
- competitive learning
- network architecture
- error bounds
- fuzzy systems
- neural nets
- computational models
- feed forward
- neural network model
- self organizing maps
- fuzzy logic
- training data
- data sets
- real time