Compute-in-Time for Deep Neural Network Accelerators: Challenges and Prospects.
Hamza Al MaharmehNabil J. SarhanChung-Chih HungMohammed IsmailMohammad AlhawariPublished in: MWSCAS (2020)
Keyphrases
- neural network
- lessons learned
- pattern recognition
- artificial neural networks
- key issues
- back propagation
- real world
- computing systems
- technical challenges
- feed forward
- neural network model
- training process
- neural nets
- auto associative
- fuzzy artmap
- self organizing maps
- data mining
- image reconstruction from projections
- neural network is trained
- single chip
- hopfield neural network
- feedforward neural networks
- activation function
- associative memory
- recurrent neural networks
- learning algorithm
- machine learning