Computational memory-based inference and training of deep neural networks.
Abu SebastianIrem BoybatMartino DazziIason GiannopoulosVara Prasad JonnalagaddaVinay JoshiGeethan KarunaratneBenedikt KerstingRiduan Khaddam-AljamehS. R. NandakumarAnastasios PetropoulosChristophe PiveteauTheodore AntonakopoulosBipin RajendranManuel Le GalloEvangelos EleftheriouPublished in: VLSI Circuits (2019)
Keyphrases
- neural network
- training process
- training algorithm
- structured prediction
- feed forward neural networks
- neural network training
- pattern recognition
- backpropagation algorithm
- back propagation
- multi layer perceptron
- training patterns
- feedforward neural networks
- genetic algorithm
- error back propagation
- neural network structure
- neural nets
- bayesian networks
- expert systems
- inference process
- multilayer perceptron
- feed forward
- deep architectures
- training set
- training examples
- training samples
- supervised learning
- multilayer neural network
- active learning
- fuzzy logic
- radial basis function network
- recurrent neural networks
- rule extraction
- test set
- inference engine
- hidden layer
- mathematical programming