厦门现场GPU培训

厦门现场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厦门或者在NobleProg的企业培训中心厦门 。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

厦门 - 国际银行大厦

国际银行大厦中心8楼

厦门市, Fujian 国际银行大厦中心8楼,思明区鹭江道8号 361001 ,
Xiamen International Plaza
在厦门的培训中心学习GPU。国际银行大厦是地处厦门CBD鹭江路上拥有37层楼的地标性建筑物。面临大海且厦门著名风景点鼓浪屿即在对岸。鹭江路已成为“厦门外滩”及一个著名的度假胜地。由于地理位置优越,众多不同行业客户包括金融投资、专业服务、物流、进出口、电子类公司都入驻大楼。附近的设施包括中国银行、中国工商银行、厦门海景千禧大酒店及厦门温德姆酒店。 中心交通便利,集海路、陆路和航空便捷于一体。渡轮码头只有几分钟距离之远。附近有快速公交站,乘坐快速公交去厦门火车站只有15分钟时间。高速列车可以从厦门到上海、南京、合肥、福州、南昌和鹰潭 查看更多

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厦门现场Graphics Processing Unit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 厦门 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 厦门 (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 厦门 (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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