FPGA based Adaptive Hardware Acceleration for Multiple Deep Learning Tasks.
Yufan LuXiaojun ZhaiSangeet SahaShoaib EhsanKlaus D. McDonald-MaierPublished in: MCSoC (2021)
Keyphrases
- learning tasks
- transfer learning
- meta learning
- learning problems
- machine learning
- learning algorithm
- hardware implementation
- multi task learning
- supervised learning
- multi task
- learning experience
- hardware architecture
- multiple tasks
- learning models
- hardware design
- hypothesis space
- multi label
- kernel methods
- multitask learning
- object recognition
- embedded systems
- real world
- image processing
- natural language
- machine learning algorithms