Lokala instruktörsledda GPU-enheter (Graphics Processing Unit) -kurser visar genom interaktiva diskussioner och praktiska övningar grunderna för GPU och hur man programmerar GPU. GPU-träning är tillgänglig som "live-träning" eller "fjärr-live-träning". Utbildning på plats kan genomföras lokalt på kundlokaler i Sverige eller i NobleProgs företagsutbildningscenter i Sverige . Fjärrutbildning sker genom en interaktiv fjärrskrivbord. NobleProg - Din lokala utbildningsleverantör
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Vittnesmål
Exempel som diskuteras levande, utvikningar, exempel från "liv". En träningsform, dvs sammanflätning av en föreläsning med praktiska exempel och samtal om dessa exempel.
Piotr Glazor - Nokia
Kurs: NVIDIA GPU Programming - Extended
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Tränaren riktade verkligen vårt behov till en mycket specifik fallstudie och kunde anpassa sig till situationen (som lösningarna på vårt problem utvecklades under kursen), utöver den uppströms förberedelsen som han gjorde.
Anne-Sophie Schwindenhammer
Kurs: Inkscape
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allt
Dominik Kutten
Kurs: Adobe LiveCycle Designer
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organisering av klasser
Jarosław Jasiński
Kurs: Adobe Illustrator
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kunskap och reaktivitet mot problem
Tadeusz Kopryaniuk
Kurs: Adobe Illustrator
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allt.
Janusz Magnuszewski - mLeasing
Kurs: Adobe LiveCycle Designer
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arbeta med exempel
Kacper Gardziała - Exacto Sp. z o.o.
Kurs: Adobe Illustrator
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Att koncentrera sig på behoven hos den utbildade
Barbara Szubert-Tabaczka - Volkswagen Poznań Sp. z o.o.
Kurs: Adobe LiveCycle Designer
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Kunskap och hur den kommuniceras.
Magdalena Rokoszewska - Agencja Kreatywna Przereklamowani
Kurs: Techniki graficzne (Adobe Photoshop, Adobe Illustrator)
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Graphics Processing Unit underkategorier
Graphics Processing Unit (GPU) läroplaner
Kurs Namn
Varaktighet
Översikt
Kurs Namn
Varaktighet
Översikt
14 timmar
This course covers how to program GPUs for parallel computing. Some of the applications include deep learning, analytics, and engineering applications.
21 timmar
This instructor-led, live training course in Sverige 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 timmar
This instructor-led, live training in Sverige (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 timmar
This instructor-led, live training in Sverige (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:
Kommande GPU (Graphics Processing Unit) Kurser
GPU Programming with CUDA and Python
16-02-2022 09:30
14 timmar
Hardware-Accelerated Video Analytics
21-02-2022 09:30
14 timmar
NVIDIA GPU Programming
08-03-2022 09:30
14 timmar
NVIDIA GPU Programming
08-03-2022 09:30
14 timmar
NVIDIA GPU Programming - Extended
23-03-2022 09:30
21 timmar
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