<div dir="ltr">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.</div><div class="gmail_extra"><br clear="all"><div><div class="gmail_signature" data-smartmail="gmail_signature"><div dir="ltr"><div><div dir="ltr">Regards Siddharth Gupta,<br>Ph: 9871012292<div><a href="https://www.linkedin.com/in/sidgupta234/" target="_blank">Linkedin</a> | <a href="https://github.com/sidgupta234" target="_blank">Github</a> | <a href="https://www.codechef.com/users/sidgupta234" target="_blank">Codechef</a> | <a href="https://twitter.com/SidGupta234" target="_blank">Twitter</a> | <a href="https://www.facebook.com/profile.php?id=1483695876" target="_blank">Facebook</a><br></div></div></div></div></div></div>
<br><div class="gmail_quote">On Sun, Sep 25, 2016 at 3:14 PM, 深谷亮祐 <span dir="ltr"><<a href="mailto:nannyakannya@gmail.com" target="_blank">nannyakannya@gmail.com</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">Hi everyone,<br>
<br>
My name is Ryosuke Fukatani.<br>
I'm joining a scikit-learn community and really excited to work with all.<br>
<br>
Today I propose new feature "maxout activation" for MLP.<br>
Maxout activation achived high performance<br>
classification.(<a href="http://www.jmlr.org/proceedings/papers/v28/goodfellow13.pdf" rel="noreferrer" target="_blank">http://www.<wbr>jmlr.org/proceedings/papers/<wbr>v28/goodfellow13.pdf</a>).<br>
<br>
And it seemed that only a few layers are needed to use maxout.<br>
I think it is suitable feature for light weight MLP by scikit learn.<br>
<br>
If it's OK, I'd work on it.<br>
Best regards<br>
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</blockquote></div><br></div>