Les formations GPU

Les formations GPU

Les cours de formation GPU (Graphics Processing Unit) en direct dirigés par un instructeur montrent, par le biais de discussions interactives et de travaux pratiques, les principes de base du GPU et la manière de les programmer. La formation GPU est disponible en tant que "formation en direct sur site" ou "formation en direct à distance". La formation en direct sur site peut être effectuée localement chez le client à Belgique ou dans des centres de formation d'entreprise NobleProg dans Belgique . La formation en direct à distance est réalisée au moyen d'un poste de travail distant et interactif. NobleProg - Votre prestataire de formation local

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Sous-catégories Graphics Processing Unit (GPU)

Plans de cours Graphics Processing Unit (GPU)

Nom du Cours
Nom du Cours
14 hours
Ce cours explique comment programmer des GPU pour le calcul parallèle. Certaines applications incluent l’apprentissage en profondeur, l’analyse et les applications techniques.
21 hours
This instructor-led, live training course in Belgique 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 Belgique (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.
14 hours
This instructor-led, live training in Belgique (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.

Prochains cours Graphics Processing Unit

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