Direct Quantization for Training Highly Accurate Low Bit-width Deep Neural Networks.

Tuan Hoang Thanh-Toan Do Tam V. Nguyen Ngai-Man Cheung

Published in: IJCAI (2020)

Keyphrases

highly accurate
neural network
training process
training algorithm
feedforward neural networks
high accuracy
high quality
feed forward neural networks
neural network training

capable of producing
uniform quantization
genetic algorithm
recurrent networks
accurate models
multi layer perceptron
backpropagation algorithm
recurrent neural networks
training patterns

deep architectures
training phase
neural network model
back propagation
deep learning
pattern recognition
successive approximation
adaptive quantization
radial basis function network

self organizing maps
online learning
fuzzy logic
artificial neural networks
data sets
neural nets
feed forward
neural network structure
active learning