Adaptive Learning Rule for Hardware-based Deep Neural Networks Using Electronic Synapse Devices.
Suhwan LimJong-Ho BaeJai-Ho EumSungtae LeeChul-Heung KimByung-Gook ParkJong-Ho LeePublished in: CoRR (2017)
Keyphrases
- adaptive learning
- neural network
- embedded systems
- learning rules
- fuzzy classifier
- processing capabilities
- control unit
- embedded devices
- low cost
- learning objects
- personal computer
- mobile devices
- camera phones
- knowledge level
- learning environment
- wavelet neural network
- e learning
- reinforcement learning
- hardware implementation
- back propagation
- feedforward neural networks
- concept maps
- feed forward
- fuzzy logic
- student model
- field programmable gate array
- mobile applications
- synaptic weights