Recovering Accuracy of RRAM-based CIM for Binarized Neural Network via Chip-in-the-loop Training.
Yi Sheng ChongWang Ling GohYew Soon OngVishnu P. NambiarAnh Tuan DoPublished in: ISCAS (2022)
Keyphrases
- neural network
- training algorithm
- training process
- feed forward neural networks
- training set
- artificial neural networks
- high accuracy
- back propagation
- neural network training
- multi layer perceptron
- high speed
- prediction accuracy
- training patterns
- computational cost
- training speed
- training data
- backpropagation algorithm
- bp neural network
- feed forward
- classification accuracy
- neural network model
- low cost
- error rate
- training and testing data
- recurrent networks
- test set
- activation function
- fault diagnosis
- self organizing maps
- vlsi implementation
- multi layer
- recurrent neural networks
- computational complexity
- programmable logic
- pattern recognition
- analog vlsi
- multilayer perceptron