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 <[email protected]> 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 <[email protected]> > 日期： 2018/8/9 02:50 (GMT+01:00) > 至： [email protected] > 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 : [email protected] > [email protected] > [email protected] > > *----* > *Mapping Technician* > Department of Surveying and Mapping Vietnam > No 2, Dang Thuy Tram street, Hanoi, Viet Nam > > Mobile: +84 1255151344 > Email : [email protected] > > _______________________________________________ > scikit-learn mailing list > [email protected] > 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 : [email protected] [email protected] [email protected] *----* *Mapping Technician* Department of Surveying and Mapping Vietnam No 2, Dang Thuy Tram street, Hanoi, Viet Nam Mobile: +84 1255151344 Email : [email protected]
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