In situ training of feed-forward and recurrent convolutional memristor networks.
Zhongrui WangCan LiPeng LinMingyi RaoYongyang NieWenhao SongQinru QiuYunning LiPeng YanJohn Paul StrachanNing GeNathan McDonaldQing WuMiao HuHuaqiang WuR. Stanley WilliamsQiangfei XiaJ. Joshua YangPublished in: Nat. Mach. Intell. (2019)
Keyphrases
- feed forward
- recurrent networks
- recurrent neural networks
- feed forward neural networks
- back propagation
- error back propagation
- neural nets
- quantum mechanics
- neural network
- artificial neural networks
- visual cortex
- spiking neural networks
- training algorithm
- hidden layer
- biologically plausible
- activation function
- spiking neurons
- feedforward neural networks
- training process
- output layer
- supervised learning
- artificial intelligence
- neuron model
- deep learning
- learning algorithm