Certigrad: bug-free machine learning on stochastic computation graphs
1–10 of 54 posts
Re: Certigrad: bug-free machine learning on stochastic computation graphs
#2Re: Certigrad: bug-free machine learning on stochastic computation graphs
#3Meta to the Certigrad project, for those mystified by the 'lean' programming language, here is a good start: https://leanprover.github.io/programming_in_lean/programming...
Re: Certigrad: bug-free machine learning on stochastic computation graphs
#4Re: Certigrad: bug-free machine learning on stochastic computation graphs
#5Re: Certigrad: bug-free machine learning on stochastic computation graphs
#6I find the appeal of formally proven languages somewhat confusing. All you're doing is moving the bugs from the source code to the specification. (Alternately, you can think of source code as a 'specification' for a compiled program. You still have to transfer the same amount of information to the computer.)
Re: Certigrad: bug-free machine learning on stochastic computation graphs
#7I find the appeal of formally proven languages somewhat confusing. All you're doing is moving the bugs from the source code to the specification. (Alternately, you can think of source code as a 'specification' for a compiled program. You still have to transfer the same amount of information to the computer.)
The specification is a lot smaller than the code, and so it's easier to read and manually verify that it's correct.
Re: Certigrad: bug-free machine learning on stochastic computation graphs
#8Re: Certigrad: bug-free machine learning on stochastic computation graphs
#9I find the appeal of formally proven languages somewhat confusing. All you're doing is moving the bugs from the source code to the specification. (Alternately, you can think of source code as a 'specification' for a compiled program. You still have to transfer the same amount of information to the computer.)
Re: Certigrad: bug-free machine learning on stochastic computation graphs
#10http://composition.al/blog/2017/05/31/proving-that-safety-cr...
http://www.cleverhans.io/security/privacy/ml/2017/06/14/veri...
and another preprint: https://arxiv.org/abs/1706.10268