Sorry, I didn't see Andy's note ;)
On Fri, Apr 19, 2013 at 11:23 PM, amir rahimi <noname01....@gmail.com>wrote:
> Hi,
> I recommend Theano <http://deeplearning.net/software/theano/> if you want
> to use python with GPU for deep learning. It is tightly integrated with
> numpy....
>
> Best,
> Amir
>
>
> On Thu, Apr 18, 2013 at 9:21 PM, Wei LI <kuant...@gmail.com> wrote:
>
>> @Andy What do you mean by "blackbox" algorithm? Does that mean something
>> similar to pylearn2?
>>
>> @Issam, It seems to me that scalablity is a key factor to train deep
>> models and make them work. Do you have any suggestion how to make it
>> scalable while still fits in sklearn framework? I think sklearn cannot
>> supports GPU easily. I wanna know is training a deep model for a mid-level
>> scale(maybe like cifar?) painful on CPU only with numpy?
>>
>> Best,
>> Wei
>>
>> On Fri, Apr 19, 2013 at 12:27 AM, Andreas Mueller <
>> amuel...@ais.uni-bonn.de> wrote:
>>
>>> Hi Issam.
>>> Thank you for your interest. Have you looked at the
>>> MLP and RBM pull requests that are currently open?
>>> How would your project relate to those?
>>>
>>> A real problem is that we don't want to replicate theano
>>> and rather have a somewhat "black box" algorithm that people can
>>> apply....
>>>
>>> Cheers,
>>> Andy
>>>
>>>
>>> On 04/18/2013 06:07 PM, Issam wrote:
>>> > Hi scikit,
>>> >
>>> > Here I am proposing to work on deep learning topic for GSOC 2013. Deep
>>> > learning is a relatively new research area that is progressing fast
>>> > with a lot of potential for contributions. It involves an intersting
>>> > idea by trying to imitate the brain, as it uses many levels (hidden
>>> > layers) of processing. Where the levels are at decreasing order of
>>> > abstractions!
>>> >
>>> > In this project, I'm planning to work on each step carefully, first I
>>> > look into "Deep Boltzmann machines", then "Deep belief networks","Deep
>>> > auto-encoders", "Stacked denoising auto-encoders", and more. I could
>>> > create a complete plan for this, once I get your feedback :)
>>> >
>>> > I have been involved in quite a number of machine learning projects,
>>> > from dealing with imbalanced datasets (software quality prediction), to
>>> > XML classification, from recognizing gender out of handwriting, to
>>> > breast cancer prediction using mammograms. I'm in my second semester as
>>> > a graduate student (MSc), and machine learning is my research area. My
>>> > thesis would involve deep learning, which i will apply on
>>> bioinformatics
>>> > and face recognition.
>>> >
>>> > I would be more than happy to work with a mentor on this!
>>> >
>>> > Thank you!
>>> >
>>> > Best regards,
>>> > --Issam Laradji
>>> >
>>> >
>>> ------------------------------------------------------------------------------
>>> > Precog is a next-generation analytics platform capable of advanced
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>>>
>>>
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>>> analytics on semi-structured data. The platform includes APIs for
>>> building
>>> apps and a phenomenal toolset for data science. Developers can use
>>> our toolset for easy data analysis & visualization. Get a free account!
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>>
>>
>>
>> --
>> LI, Wei
>> Tsinghua/CUHK
>> http://kuantkid.github.com/
>>
>>
>>
>> ------------------------------------------------------------------------------
>> Precog is a next-generation analytics platform capable of advanced
>> analytics on semi-structured data. The platform includes APIs for building
>> apps and a phenomenal toolset for data science. Developers can use
>> our toolset for easy data analysis & visualization. Get a free account!
>> http://www2.precog.com/precogplatform/slashdotnewsletter
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>>
>
>
> --
> ----------------------------------------------------------------------
> #include <stdio.h>
> double d[]={9299037773.178347,2226415.983937417,307.0};
> main(){d[2]--?d[0]*=4,d[1]*=5,main():printf((char*)d);}
> ----------------------------------------------------------------------
>
--
----------------------------------------------------------------------
#include <stdio.h>
double d[]={9299037773.178347,2226415.983937417,307.0};
main(){d[2]--?d[0]*=4,d[1]*=5,main():printf((char*)d);}
----------------------------------------------------------------------
------------------------------------------------------------------------------
Precog is a next-generation analytics platform capable of advanced
analytics on semi-structured data. The platform includes APIs for building
apps and a phenomenal toolset for data science. Developers can use
our toolset for easy data analysis & visualization. Get a free account!
http://www2.precog.com/precogplatform/slashdotnewsletter
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