上海现场GPU培训

上海现场GPU培训

本地,讲师指导的现场GPU(图形处理单元)培训课程通过交互式讨论和动手实践演示了GPU的基本原理以及如何编程GPU。 GPU培训可用作“现场实时培训”或“远程实时培训”。现场培训可以在当地的客户场所进行上海或者在NobleProg的企业培训中心上海 。远程实时培训通过交互式远程桌面进行。 NobleProg - 您当地的培训机构

Machine Translated

上海 - 六八八广场

上海六八八广场

上海, Shanghai 南京西路688号 ,
Shanghai, Henderson 688
在上海的培训中心学习GPU。六八八广场位于国际甲级写字楼的第十六层,是一座现代化发展的中心,在繁华的南京西路,繁华的中心商务区。南京西路是上海最著名的商业区,有高档的商场,办公大楼和上海展览中心。688广场是一个靠近人民广场的标志性建筑,为国际公司提供一流的工作环境、居住环境和美食。在其附近有五星级的酒店如万豪酒店、最佳西方四季酒店、公园酒店等。 可步行直达地铁2号线。只需25分钟的车程,即可到达虹桥国际机场和高速铁路站,60分钟到浦东国际机场。 查看更多

上海 - 上海中区广场

中区广场2层

上海, Shanghai 黄浦区黄陂北路227号 200003 ,
上海 - 上海中区广场
在上海的培训中心学习GPU。上海中区广场位于人民广场西侧的黄陂北路,被众多上海著名地标性建筑所环绕,像市政府大楼、上海会展中心、上海博物馆等都在附近,十分方便。我们的办公空间就在大楼的第2层。上海中区广场周边有很多五星级酒店,例如:艾美酒店、雷迪森酒店、JW万豪酒店等,还有很多便民设施,例如:各式美食餐厅、大型购物中心、金融服务机构等。 上海中区广场步行几分钟即可到达上海最大也是最繁忙的交通枢纽——地铁人民广场站,它是地铁1、2和8号线的交叉换乘站。而此地的人民广场是上海最著名的行政、商业和文化中心,平时也都是车水马龙,商业气息浓郁。从上海中区广场开车到上海火车站仅需15分钟,如果到虹桥国际机场或高铁火车站也只需25分钟车程。 雷格斯上海中区广场办公空间为上海本地和其它国内外公司提供了一个最完美的办公解决方案,并以最合理的价格为公司提供最周到的综合服务、最齐全的办公设备、最灵活的办公空间。 查看更多

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GPU (Graphics Processing Unit)子类别

上海现场Graphics Processing Unit (GPU)课程大纲

课程名称
课程时长
课程概览
课程名称
课程时长
课程概览
14小时
课程概览
This course covers how to program GPUs for parallel computing. Some of the applications include deep learning, analytics, and engineering applications.
21小时
课程概览
This instructor-led, live training course in 上海 covers how to program GPUs for parallel computing, how to use various platforms, how to work with the CUDA platform and its features, and how to perform various optimization techniques using CUDA. Some of the applications include deep learning, analytics, image processing and engineering applications.
14小时
课程概览
This instructor-led, live training in 上海 (online or onsite) is aimed at developers who wish to build hardware-accelerated object detection and tracking models to analyze streaming video data.

By the end of this training, participants will be able to:

- Install and configure the necessary development environment, software and libraries to begin developing.
- Build, train, and deploy deep learning models to analyze live video feeds.
- Identify, track, segment and predict different objects within video frames.
- Optimize object detection and tracking models.
- Deploy an intelligent video analytics (IVA) application.
14小时
课程概览
This instructor-led, live training in 上海 (online or onsite) is aimed at developers who wish to use CUDA to build Python applications that run in parallel on NVIDIA GPUs.

By the end of this training, participants will be able to:

- Use the Numba compiler to accelerate Python applications running on NVIDIA GPUs.
- Create, compile and launch custom CUDA kernels.
- Manage GPU memory.
- Convert a CPU based application into a GPU-accelerated application.
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