Accelerating Deterministic and Stochastic Binarized Neural Networks on FPGAs Using OpenCL.
Corey LammieWei XiangMostafa Rahimi AzghadiPublished in: MWSCAS (2019)
Keyphrases
- neural network
- stochastic optimization problems
- stochastic methods
- fuzzy logic
- pattern recognition
- rbf network
- genetic algorithm
- back propagation
- field programmable gate array
- parallel algorithm
- document images
- multilayer perceptron
- hardware software
- artificial neural networks
- input image
- neural network model
- monte carlo sampling
- parallel architectures
- fault diagnosis
- recurrent neural networks
- monte carlo
- radial basis function
- shared memory
- activation function
- stochastic model
- self organizing maps
- hopfield neural network
- black box
- fully observable
- learning algorithm
- sample average approximation