Accelerating Deep Neural Networks with Analog Memory Devices.
Stefano AmbrogioPritish NarayananHsinyu TsaiCharles MackinKatherine SpoonAn ChenAndrea FasoliAlexander M. FrizGeoffrey W. BurrPublished in: AICAS (2020)
Keyphrases
- neural network
- auto associative
- mobile devices
- associative memory
- pattern recognition
- memory usage
- multilayer perceptron
- embedded systems
- back propagation
- memory requirements
- embedded devices
- artificial neural networks
- fuzzy logic
- feed forward
- memory space
- computing power
- data sets
- multi layer
- neural network model
- floating gate
- analog circuits
- self organizing maps
- deep learning
- intelligent environments
- limited memory
- expert systems
- real time
- machine learning
- storage devices
- learning algorithm
- database systems
- computational power
- network architecture
- mobile phone
- unsupervised learning
- recurrent neural networks
- main memory