When Conventional machine learning meets neuromorphic engineering: Deep Temporal Networks (DTNets) a machine learning frawmework allowing to operate on Events and Frames and implantable on Tensor Flow Like Hardware.
Marco MacanovicFabian ChersiFélix RutardSio-Hoi IengRyad BenosmanPublished in: CoRR (2018)
Keyphrases
- machine learning
- computer science
- temporal data
- data mining
- artificial intelligence
- hardware and software
- computational intelligence
- knowledge acquisition
- natural language processing
- learning algorithm
- pattern recognition
- information extraction
- temporal information
- machine learning methods
- text classification
- real time
- spatial and temporal
- temporal relations
- data analysis
- machine learning algorithms
- spatio temporal
- event detection
- learning tasks
- software engineering
- active learning
- temporal relationships