Quantization of Deep Neural Networks for Accumulator-constrained Processors.
Barry de BruinZoran ZivkovicHenk CorporaalPublished in: CoRR (2020)
Keyphrases
- neural network
- pattern recognition
- artificial neural networks
- hough transform
- parallel algorithm
- parallel processing
- quantization error
- neural nets
- recurrent neural networks
- back propagation
- parallel computing
- data sets
- feed forward
- fuzzy logic
- deep learning
- constrained problems
- parallel computation
- quantization noise
- multi layer perceptron
- fuzzy systems
- multi layer
- multilayer perceptron
- neural network model
- wavelet transform