Memory-efficient training of binarized neural networks on the edge.
Mikail YaylaJian-Jia ChenPublished in: DAC (2022)
Keyphrases
- memory efficient
- neural network
- training process
- training algorithm
- iterative deepening
- external memory
- multiple sequence alignment
- feed forward neural networks
- feedforward neural networks
- neural network training
- artificial neural networks
- error back propagation
- back propagation
- backpropagation algorithm
- multi layer perceptron
- pattern recognition
- supervised learning
- neural network structure
- feed forward
- training set
- integral image
- weighted graph
- self organizing maps
- fuzzy logic
- data structure
- multilayer neural network
- recurrent networks
- bounding box
- training phase
- recurrent neural networks
- multilayer perceptron
- test set
- input image
- support vector
- training data