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Super interesting. I've been wanting to play around with BNNs after reading Yarin Gal's post on it [1] but my knowledge is limited on how to make it work. Does
by syntaxing 8y ago
Super interesting. I've been wanting to play around with BNNs after reading Yarin Gal's post on it [1] but my knowledge is limited on how to make it work. Does anyone here have a library or tutorial they recommend using Pytorch?
[1] http://mlg.eng.cam.ac.uk/yarin/blog_3d801aa532c1ce.html http://mlg.eng.cam.ac.uk/yarin/blog_3d801aa532c1ce.html
- maiybe 8y agoI'd check out Pyro, a probabilistic programming language built on Pytorch. You can find Bayesian Neural Network examples starting here: http://pyro.ai/examples/bayesian_regression.html http://pyro.ai/examples/bayesian_regression.html I think the documentation and tutorials are thorough and laid out well to ease you into Bayesian NN and generally handling uncertainty with Neural Networks + Distributions. There's some Pyro-specific constructs in there, but it's the easiest way to get into BNNs without lots of prior knowledge.
- thess24 8y agohttps://twiecki.io/blog/2016/06/01/bayesian-deep-learning/ https://twiecki.io/blog/2016/06/01/bayesian-deep-learning/ This is a good example. There’s not much info I’ve been able to find - I’d be interested if anyone else has a solid tutorial.