[scikit-learn] MLP Maxout activation proposal

[深谷亮祐]

Sure! I created https://github.com/scikit-learn/scikit-learn/issues/7488 .

Regards Ryosuke,

2016-09-25 21:40 GMT+09:00, Siddharth Gupta <siddharthgupta234 at gmail.com>:
> Yes, Ryosuke the link works. Lets start by creating an issue where we can
> discuss the dos and don'ts. Something on these lines
> https://github.com/scikit-learn/scikit-learn/issues/6175 ! You create the
> issue, we'll see what others think and then we'll proceed further.
>
> Regards Siddharth Gupta,
> Ph: 9871012292
> Linkedin <https://www.linkedin.com/in/sidgupta234/> | Github
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>
> On Sun, Sep 25, 2016 at 5:16 PM, 深谷亮祐 <nannyakannya at gmail.com> wrote:
>
>> 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
>> <siddharthgupta234 at 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 <nannyakannya at 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 at python.org
>> >> https://mail.python.org/mailman/listinfo/scikit-learn
>> >>
>> >
>>
>>
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