RRAM for Compute-in-Memory: From Inference to Training.
Shimeng YuWonbo ShimXiaochen PengYandong LuoPublished in: IEEE Trans. Circuits Syst. I Regul. Pap. (2021)
Keyphrases
- training set
- structured prediction
- computing power
- bayesian networks
- supervised learning
- training examples
- neural network
- memory requirements
- main memory
- memory space
- probabilistic inference
- test set
- online learning
- belief networks
- training process
- training algorithm
- markov random field
- artificial neural networks
- grammatical inference