Accelerating Deterministic and Stochastic Binarized Neural Networks on FPGAs Using OpenCL.
Corey LammieWei XiangMostafa Rahimi AzghadiPublished in: CoRR (2019)
Keyphrases
- image processing
- neural network
- pattern recognition
- stochastic optimization problems
- stochastic methods
- field programmable gate array
- fuzzy logic
- artificial neural networks
- back propagation
- neural network model
- rbf network
- monte carlo
- input image
- fault diagnosis
- radial basis function
- multilayer perceptron
- black box
- monte carlo sampling
- parallel architectures
- training process
- hardware implementation
- stochastic domains
- feed forward
- document images
- fully observable
- recurrent neural networks
- hopfield neural network
- bounding box
- multi layer
- embedded systems
- parallel processing
- genetic algorithm