all AI news
Bayesian NNs vs. learning variance and mean [Discussion]
Jan. 29, 2024, 1:38 p.m. | /u/andre2500_
Machine Learning www.reddit.com
From what I understand bayesian NNs consider the weights to be a pdf and thus allow the NN itself to produce stochastics results based on the sampling of the weights after training. While this seems very interesting, it is also expensive. Another simpler option, for those looking to be able to produce stochastic predictions can just be making the NN learn some mean and standard deviation. While the NN itself is now deterministic and not stochastic, it still allows …
bayesian machinelearning mean nns pdf sampling training variance
More from www.reddit.com / Machine Learning
Jobs in AI, ML, Big Data
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
#13721 - Data Engineer - AI Model Testing
@ Qualitest | Miami, Florida, United States
Elasticsearch Administrator
@ ManTech | 201BF - Customer Site, Chantilly, VA