Local instructor-led live GPU training courses in България.
Oтзиви от потребители
Примери за на живо, дигреси, примери от "живот". Форма на обучение, т.е. преплитане на лекция с практически примери и обсъждане на тези примери.
Piotr Glazor - Nokia
Course: NVIDIA GPU Programming - Extended
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Упражнения
Intel Technology Poland SP. z o.o.
Course: Inkscape
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Познаването на презентатора, предмета, достъпа до портала с упражнения е, че курсът е записан и аз мога да го изслушам за известно време.
Intel Technology Poland SP. z o.o.
Course: Inkscape
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GPU Subcategories
GPU Course Outlines
Име на Kурса
Продължителност
Общ преглед
Име на Kурса
Продължителност
Общ преглед
14 hours
This course covers how to program GPUs for parallel computing. Some of the applications include deep learning, analytics, and engineering applications.
21 hours
This instructor-led, live training course in България 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 hours
This instructor-led, live training in България (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 hours
This instructor-led, live training in България (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.
Last Updated:
Upcoming GPU Courses
28-12-2021 09:30
14 hours
29-12-2021 09:30
14 hours
24-01-2022 09:30
14 hours
24-01-2022 09:30
14 hours
24-01-2022 09:30
21 hours
Other countries
Consulting
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