Thanks for your reply! I look forward to working with you. In my environment, the file link works, but I found another. Please try this URL-> ( https://arxiv.org/abs/1302.4389 )
Regards Ryosuke, 2016-09-25 18:51 GMT+09:00, Siddharth Gupta <siddharthgupta...@gmail.com>: > It seems like a great idea to me. I would love to co-work on this feature. > Also could you check the file link, it does not seem to be opening the > document. > > Regards Siddharth Gupta, > Ph: 9871012292 > Linkedin <https://www.linkedin.com/in/sidgupta234/> | Github > <https://github.com/sidgupta234> | Codechef > <https://www.codechef.com/users/sidgupta234> | Twitter > <https://twitter.com/SidGupta234> | Facebook > <https://www.facebook.com/profile.php?id=1483695876> > > On Sun, Sep 25, 2016 at 3:14 PM, 深谷亮祐 <nannyakan...@gmail.com> wrote: > >> Hi everyone, >> >> My name is Ryosuke Fukatani. >> I'm joining a scikit-learn community and really excited to work with all. >> >> Today I propose new feature "maxout activation" for MLP. >> Maxout activation achived high performance >> classification.(http://www.jmlr.org/proceedings/papers/ >> v28/goodfellow13.pdf). >> >> And it seemed that only a few layers are needed to use maxout. >> I think it is suitable feature for light weight MLP by scikit learn. >> >> If it's OK, I'd work on it. >> Best regards >> _______________________________________________ >> scikit-learn mailing list >> scikit-learn@python.org >> https://mail.python.org/mailman/listinfo/scikit-learn >> > -- ******************************** ******************************** _______________________________________________ scikit-learn mailing list scikit-learn@python.org https://mail.python.org/mailman/listinfo/scikit-learn
