[scikit-learn] 回覆: Using GPU in scikit learn

hoang trung Ta tahoangtrung at gmail.com
Thu Aug 9 06:46:42 EDT 2018


Thank you very much for all of your information. Now I understand more
about Scikit learn.

On Thu, Aug 9, 2018 at 4:35 PM, blacklabel29 <blacklabel29 at web.de> wrote:

> Hi,
>
>
> the scikit-learn random forest does not support GPUs.
>
> If you want to do image classification using GPU processing, the standard
> way in this day and age is to use a neural network library like
> TensorFlow/keras or pytorch.
>
> GPUs can be faster than CPUs when the task is SIMD (single instruction
> multiple data), meaning the same calculation is done many times just on
> different datapoints. Neural networks are well-suited for such an
> architecture, decision trees not so much (even though there have been
> attempts to speed up decision trees using GPUs).
>
> So my advice to you depends on how much time you have: If you are willing
> to invest time to learn about neural networks and the aforementioned
> libraries, then that is certainly a very valuable skill, especially when
> looking for a job later on. But if you just need to get your paper done as
> soon as possible, stick with random forest.
>
>
> Greetings,
> Patrick
>
>
>
> 從我的 Samsung Galaxy 智慧型手機傳送。
> -------- 原始訊息 --------
> 自: hoang trung Ta <tahoangtrung at gmail.com>
> 日期: 2018/8/9 02:50 (GMT+01:00)
> 至: scikit-learn at python.org
> 主旨: [scikit-learn] Using GPU in scikit learn
>
> Dear all members,
>
> I am using Random forest for classification satellite images. I have a
> bunch of images, thus the processing is quite slow. I searched on the
> Internet and they said that GPU can accelerate the process.
>
> I have GPU NDVIA Geforce GTX 1080 Ti installed in the computer
>
> Do you know how to use GPU in Scikit learn, I mean the packages to use and
> sample code that used GPU in random forest classification?
>
> Thank you very much
>
> --
> *Ta Hoang Trung (Mr)*
>
> *Master student*
> Graduate School of Life and Environmental Sciences
> University of Tsukuba, Japan
>
> Mobile:  +81 70 3846 2993
> Email :  ta.hoang-trung.xm at alumni.tsukuba.ac.jp
>              tahoangtrung at gmail.com
>              s1626066 at u.tsukuba.ac.jp
>
> *----*
> *Mapping Technician*
> Department of Surveying and Mapping Vietnam
> No 2, Dang Thuy Tram street, Hanoi, Viet Nam
>
> Mobile: +84 1255151344
> Email : tahoangtrung at gmail.com
>
> _______________________________________________
> scikit-learn mailing list
> scikit-learn at python.org
> https://mail.python.org/mailman/listinfo/scikit-learn
>
>


-- 
*Ta Hoang Trung (Mr)*

*Master student*
Graduate School of Life and Environmental Sciences
University of Tsukuba, Japan

Mobile:  +81 70 3846 2993
Email :  ta.hoang-trung.xm at alumni.tsukuba.ac.jp
             tahoangtrung at gmail.com
             s1626066 at u.tsukuba.ac.jp

*----*
*Mapping Technician*
Department of Surveying and Mapping Vietnam
No 2, Dang Thuy Tram street, Hanoi, Viet Nam

Mobile: +84 1255151344
Email : tahoangtrung at gmail.com
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mail.python.org/pipermail/scikit-learn/attachments/20180809/63de9c0f/attachment.html>


More information about the scikit-learn mailing list