Memristive Device Variability Performance Impact on Neuromorphic Machine Learning Hardware.
Andrew FordRashmi JhaPublished in: IGSC (Workshops) (2020)
Keyphrases
- machine learning
- real time
- low cost
- hardware and software
- data acquisition
- learning systems
- image processing
- pattern recognition
- machine learning methods
- decision trees
- reinforcement learning
- knowledge discovery
- hardware implementation
- inductive learning
- software product line
- computing systems
- machine learning approaches
- explanation based learning
- massively parallel
- computing power
- computer systems
- artificial intelligence
- data mining
- learning tasks
- semi supervised learning
- knowledge acquisition
- data analysis
- learning algorithm
- intra class
- processing capabilities
- circuit design
- data sets