RRAM-Based In-Memory Computing for Embedded Deep Neural Networks.
Daniel BankmanJ. MessnerAlbert GuralBoris MurmannPublished in: ACSSC (2019)
Keyphrases
- neural network
- auto associative
- artificial neural networks
- pattern recognition
- genetic algorithm
- memory size
- network architecture
- feed forward
- low cost
- associative memory
- multi layer
- fuzzy logic
- memory space
- low memory
- self organizing maps
- neural network model
- memory requirements
- embedded systems
- memory usage
- deep learning
- decision making
- artificial intelligence