Reproducibility, energy efficiency and performance of pseudorandom number generators in machine learning: a comparative study of python, numpy, tensorflow, and pytorch implementations.
Benjamin AntunesDavid R. C. HillPublished in: CoRR (2024)
Keyphrases
- energy efficiency
- pseudorandom number
- machine learning
- power consumption
- energy consumption
- wireless sensor networks
- sensor networks
- energy efficient
- data center
- chaotic map
- response time
- routing protocol
- energy saving
- power management
- smart home
- supervised learning
- computational intelligence
- learning algorithm
- reinforcement learning
- efficient implementation
- sensor nodes
- artificial intelligence
- active learning
- image encryption
- computer vision
- piecewise linear
- databases
- database
- ambient intelligence
- data streams