Accelerating Deep Neural Network In-Situ Training With Non-Volatile and Volatile Memory Based Hybrid Precision Synapses.
Yandong LuoShimeng YuPublished in: IEEE Trans. Computers (2020)
Keyphrases
- neural network
- training algorithm
- training process
- feed forward neural networks
- back propagation
- feedforward neural networks
- neural network training
- artificial neural networks
- multilayer neural network
- hidden layer
- output layer
- multi layer perceptron
- associative memory
- training patterns
- recurrent networks
- hebbian learning
- network model
- train a neural network
- hybrid intelligent
- backpropagation algorithm
- precision and recall
- feed forward
- deep architectures
- high precision
- training set
- fuzzy logic
- neural network structure
- bp neural network
- test set
- error back propagation
- neural network model
- fuzzy neural network
- multilayer perceptron
- genetic algorithm
- neural network is trained
- training examples
- synaptic weights
- pattern recognition
- spiking neurons
- supervised learning
- deep learning
- fault diagnosis
- high levels
- file system
- data storage
- neural nets