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
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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Övningar
Intel Technology Poland SP. z o.o.
Kurs: Inkscape
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Kunskapen om presentatören, ämnet, tillgång till portalen med övningar, är att kursen spelades in och jag kan lyssna på den på ett tag.
Intel Technology Poland SP. z o.o.
Kurs: Inkscape
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Graphics Processing Unit underkategorier
Graphics Processing Unit (GPU) läroplaner
Kurs Namn
Varaktighet
Översikt
Kurs Namn
Varaktighet
Översikt
14 timmar
Översikt
Denna kurs behandlar hur man programmerar GPU er för parallell databehandling. Vissa av applikationerna inkluderar djup inlärnings-, analys- och teknikapplikationer.
14 timmar
Översikt
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.
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 timmar
Översikt
Denna instruktör-ledda, levande utbildning kurs täcker hur man programmerar GPUs för parallella datoranvändning, hur man använder olika plattformar, hur man arbetar med CUDA-plattformen och dess funktioner, och hur man utför olika optimeringstekniker med hjälp av CUDA. Några av applikationerna inkluderar djupinlärning, analys, bildbehandling och ingenjörsapplikationer.
14 timmar
Översikt
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.
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.
Kommande GPU (Graphics Processing Unit) Kurser
2020-11-26 09:30:00
14 timmar
2020-12-17 09:30:00
14 timmar
2021-01-19 09:30:00
14 timmar
2021-03-15 09:30:00
14 timmar
2021-05-04 09:30:00
14 timmar
Andra länder
Konsult
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