Quantized Neural Network Inference with Precision Batching.
Maximilian LamZachary YedidiaColby R. BanburyVijay Janapa ReddiPublished in: CoRR (2020)
Keyphrases
- neural network
- artificial neural networks
- neural network model
- pattern recognition
- inference process
- back propagation
- fault diagnosis
- high precision
- neural nets
- network architecture
- learning vector quantization
- self organizing maps
- knn
- high recall
- fuzzy artmap
- backpropagation neural network
- inference engine
- average precision
- image reconstruction from projections
- bayesian inference
- genetic algorithm
- recurrent neural networks
- multilayer perceptron
- fuzzy logic
- feed forward
- precision and recall
- feedforward neural networks
- probability distribution
- neural network is trained
- scheduling problem
- radial basis function
- bayesian model
- associative memory
- feed forward neural networks
- single machine
- multi layer
- belief networks
- probabilistic inference