Jan. 29, 2024, 1:38 p.m. | /u/andre2500_

Machine Learning www.reddit.com

Hi,

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

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