Differentiable Quantization of Deep Neural Networks.
Stefan UhlichLukas MauchKazuki YoshiyamaFabien CardinauxJavier Alonso GarcíaStephen TiedemannThomas KempAkira NakamuraPublished in: CoRR (2019)
Keyphrases
- neural network
- pattern recognition
- artificial neural networks
- multi layer
- back propagation
- quantization error
- neural nets
- neural network model
- fault diagnosis
- data sets
- fuzzy systems
- self organizing maps
- fuzzy logic
- objective function
- genetic algorithm
- loss function
- feed forward
- multilayer perceptron
- decision trees
- fuzzy neural network
- activation function
- real time
- deep learning
- hopfield neural network