GPU培训课程

GPU培训课程

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中国或者在NobleProg的企业培训中心中国 。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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GPU (Graphics Processing Unit)子类别

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
本课程介绍如何为并行计算编程GPU 。一些应用程序包括深度学习,分析和工程应用程序。
14小时
课程概览
CUDA (Compute Unified Device Architecture) is a parallel computing platform and API created by Nvidia.

This instructor-led, live training (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.

Format of the Course

- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.

Course Customization Options

- To request a customized training for this course, please contact us to arrange.
21小时
课程概览
这个讲师主导的现场培训课程包括如何为并行计算编程GPU ,如何使用各种平台,如何使用CUDA平台及其功能,以及如何使用CUDA执行各种优化技术。一些应用程序包括深度学习,分析,图像处理和工程应用程序。
14小时
课程概览
Video analytics refers to the technology and techniques used to process a video stream. A common application would be capturing and identifying live video events through motion detection, facial recognition, crowd and vehicle counting, etc.

This instructor-led, live training (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.

Format of the Course

- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.

Course Customization Options

- To request a customized training for this course, please contact us to arrange.

近期GPU培训课程

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