all AI news
What impacts the speed of prediction for ANNs?
June 9, 2022, 9:01 a.m. | /u/Algo-G-H
Neural Networks, Deep Learning and Machine Learning www.reddit.com
I am curious as to how one can minimise the speed of prediction when it comes to hyperparameter optimization. Is it best to minimise the number of weight parameters in the model? (I know this benefits storage) or is it best to minimise the number of layers?
Any help would be appreciated, cheers!
More from www.reddit.com / Neural Networks, Deep Learning and Machine Learning
I trained an LSTM on a function such that it predicts the next data point …
2 weeks, 5 days ago |
www.reddit.com
Choose Your Own Coding Assistant
1 month, 3 weeks ago |
www.reddit.com
Animal Behavior Recognition Using Machine Learning
1 month, 4 weeks ago |
www.reddit.com
Jobs in AI, ML, Big Data
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
IT Commercial Data Analyst - ESO
@ National Grid | Warwick, GB, CV34 6DA
Stagiaire Data Analyst – Banque Privée - Juillet 2024
@ Rothschild & Co | Paris (Messine-29)
Operations Research Scientist I - Network Optimization Focus
@ CSX | Jacksonville, FL, United States
Machine Learning Operations Engineer
@ Intellectsoft | Baku, Baku, Azerbaijan - Remote
Data Analyst
@ Health Care Service Corporation | Richardson Texas HQ (1001 E. Lookout Drive)