현지 강사 주도 라이브 GPU (그래픽 처리 장치) 교육 과정은 대화식 토론과 실습을 통해 GPU의 기본 사항 및 GPU 프로그래밍 방법을 보여줍니다. GPU 교육은 "현장 실습"또는 "원격 실습"으로 제공됩니다. 현장 실습은 고객 구내에서 현지에서 실시 할 수 있습니다. 대한민국 또는 NobleProg 기업 교육 센터에서 대한민국 . 원격 라이브 교육은 대화 형 원격 데스크톱을 통해 수행됩니다. NobleProg - 지역 교육 제공자
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회원 평가
예를 들은 라이브, digression, "생활"의 예를 논의했다. 교육의 한 형태, 즉 실용적인 예와 강의를 엮고 이러한 예에 대해 토론하는 것입니다.
Piotr Glazor - Nokia
Course: NVIDIA GPU Programming - Extended
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모든
Dominik Kutten
Course: Adobe LiveCycle Designer
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수업 조직 Jaro
Jarosław Jasiński
Course: Adobe Illustrator
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문제에 대한 지식과 반응 Tadeusz Kopryani
Tadeusz Kopryaniuk
Course: Adobe Illustrator
Machine Translated
트레이너는 실제로 매우 구체적인 사례 연구에 대한 필요성을 표적으로 삼았고 상황에 적응할 수있었습니다 (과정에서 진화 된 문제에 대한 해결책으로서)
Anne-Sophie Schwindenhammer
Course: Inkscape
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다.
Janusz Magnuszewski - mLeasing
Course: Adobe LiveCycle Designer
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예제 작업
Kacper Gardziała - Exacto Sp. z o.o.
Course: Adobe Illustrator
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교육의 필요성에 집중
Barbara Szubert-Tabaczka - Volkswagen Poznań Sp. z o.o.
Course: Adobe LiveCycle Designer
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지식과 그것이 전달 되는 방식.
Magdalena Rokoszewska - Agencja Kreatywna Przereklamowani
Course: Techniki graficzne (Adobe Photoshop, Adobe Illustrator)
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연습
Intel Technology Poland SP. z o.o.
Course: Inkscape
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발표자의 지식, 주제, 연습으로 포털에 대한 액세스, 과정이 기록되었고 나는 잠시 동안 그것을들을 수 있다는 것입니다.
Intel Technology Poland SP. z o.o.
Course: Inkscape
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참가자들의 필요에 맞게 회담 조정
Aleksandra Błachaniec - BANK SPÓŁDZIELCZY W OŁAWIE
Course: Raster and Vector Graphics (Adobe Photoshop, Corel Draw)
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Graphics Processing Unit (GPU)서브 카테고리
GPU코스 개요
코스 이름
Duration
Overview
코스 이름
Duration
Overview
14 시간
Overview
This course covers how to program GPUs for parallel computing. Some of the applications include deep learning, analytics, and engineering applications.
21 시간
Overview
This instructor-led, live training course in 대한민국 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 시간
Overview
This instructor-led, live training in 대한민국 (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.
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 시간
Overview
This instructor-led, live training in 대한민국 (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.
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.
향후GPU 코스
08-11-2021 10:00
14 hours
15-11-2021 10:00
14 hours
29-11-2021 10:00
21 hours
22-12-2021 10:00
14 hours
22-12-2021 10:00
14 hours
Other countries
Consulting
주말GPU (Graphics Processing Unit)코스, 밤의Graphics Processing Unit트레이닝, GPU (Graphics Processing Unit)부트 캠프, GPU (Graphics Processing Unit) 강사가 가르치는, 주말GPU교육, 밤의Graphics Processing Unit (GPU)과정, GPU (Graphics Processing Unit)코칭, Graphics Processing Unit강사, Graphics Processing Unit트레이너, Graphics Processing Unit (GPU)교육 과정, Graphics Processing Unit (GPU)클래스, GPU현장, Graphics Processing Unit (GPU)개인 강좌, GPU (Graphics Processing Unit)1 대 1 교육
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