Hacker News
- Making a neural network say “I Don’t Know”: Bayesian NNs using Pyro and PyTorch https://towardsdatascience.com/making-your-neural-network-say-i-dont-know-bayesian-nns-using-pyro-and-pytorch-b1c24e6ab8cd 46 comments
Linked pages
- Bayesian Methods for Hackers http://camdavidsonpilon.github.io/probabilistic-programming-and-bayesian-methods-for-hackers/ 129 comments
- Pyro http://pyro.ai/ 105 comments
- Bayes' theorem - Wikipedia https://en.wikipedia.org/wiki/Bayes%27_theorem 104 comments
- Deep Learning with PyTorch: A 60 Minute Blitz — PyTorch Tutorials 1.12.1+cu102 documentation https://pytorch.org/tutorials/beginner/deep_learning_60min_blitz.html 59 comments
- An overview of gradient descent optimization algorithms http://ruder.io/optimizing-gradient-descent/ 31 comments
- Monte Carlo method - Wikipedia https://en.wikipedia.org/wiki/Monte_Carlo_method#History 24 comments
- Normal distribution - Wikipedia https://en.wikipedia.org/wiki/Normal_distribution 19 comments
- Medium https://medium.com/m/signin?isDraft=1&operation=login&redirect=https%3A%2F%2Fmedium.com%2F%40jamie_34747%2F79d382edf22b%3Fsource%3D 19 comments
- Bayesian Statistics | Coursera https://www.coursera.org/learn/bayesian/ 3 comments
- http://ml.berkeley.edu/blog/2018/01/10/adversarial-examples/ 0 comments
- Probability distribution - Wikipedia http://en.wikipedia.org/wiki/Probability_distribution#Common_probability_distributions 0 comments
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