三亚现场GPU培训

三亚现场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三亚或者在NobleProg的企业培训中心三亚 。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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海南 - 三亚福朋喜来登酒店

三亚福朋喜来登酒店

三亚, Hainan 海南省三亚市三亚湾路78号 ,
海南 - 三亚福朋喜来登酒店
在三亚的培训中心学习GPU。三亚福朋喜来登酒店让您的培训精彩纷呈、令人难忘,我们将帮助您利用超值价格随意设计具有吸引力的创新活动。 提供多个可定制的培训主题供您选择。 这里无需酒店外交通、第二场地或额外的筹划和费用。 在举办酒店内活动时,您将拥有唯一联系人来帮助节省时间和成本 — 而您的参与者可以在放松的同时获得难忘回忆。 我们的专业团队将满足您的一切所需,从而打造一场精彩难忘的培训活动。 查看更多

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三亚现场Graphics Processing Unit培训课程

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三亚现场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 三亚 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 三亚 (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 三亚 (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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