Comparative Study on Quantization-Aware Training of Memristor Crossbars for Reducing Inference Power of Neural Networks at The Edge.
Tien Van NguyenJiyong AnKyeong-Sik MinPublished in: IJCNN (2021)
Keyphrases
- comparative study
- neural network
- training process
- training algorithm
- quantum mechanics
- feedforward neural networks
- training set
- structured prediction
- back propagation
- backpropagation algorithm
- feed forward neural networks
- multi layer perceptron
- genetic algorithm
- fuzzy logic
- edge detection
- quantization error
- training data
- feed forward
- hidden layer
- power consumption
- evolutionary computation
- bayesian networks