苏州现场GPU培训

苏州现场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苏州或者在NobleProg的企业培训中心苏州 。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

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苏州 - 晋合广场

11th Floor, No. 2 Jinhe Plaza,

Suzhou 88 Huachi Street, Industrial Park 215021 ,
晋合广场
在苏州的培训中心学习GPU。The center of Jinhe Plaza is located at the core of Suzhou Industrial Zone, on the east bank of Jinji Lake. Jinhe Plaza is a comprehensive building, including high-end shopping malls, five-star hotels, international Grade A office buildings, and Regus is located on the eleventh floor of the building. As the most famous landmark in Suzhou Financial Center, with its advanced facilities and central location, it has attracted many Fortune 500 companies such as Nokia, Philips and 3M. Jinhe Plaza... 查看更多

苏州 - 晋合广场

晋合广场

苏州市, Jiangsu 工业园区 华池街 88号 晋合广场 2号 11楼 215021 ,
 苏州 - 晋合广场
在苏州的培训中心学习GPU。雷格斯晋合广场中心位于苏州工业区核心、金鸡湖东岸。晋合广场是一座综合型大楼,包括高档购物中心、五星级酒店、国际甲级办公楼等,而雷格斯位于大厦十一层。作为苏州金融中心最著名的地标性建筑,凭借其先进的设施和中心地理位置,吸引了众多世界500强公司,如诺基亚、飞利浦和3M等。 晋合广场可方便通往苏州各大核心区域。地铁1号线时代广场站位于大厦的地下层,而距离通往上海和南京的高铁站仅需5分钟车程 查看更多

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GPU (Graphics Processing Unit)子类别

苏州现场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 苏州 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 苏州 (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 苏州 (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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