Embedded for AMD (Adaptive) SoCs & MPSoCs

AI on Edge Devices: Solving Image Recognition Tasks

Webinar

The computation power of recent embedded devices allows to run neural network inference local to the application instead of relying on a data center backbone. In this webinar, we introduce the basic insights into deep learning for image processing tasks, such as object recognition, and report on implementation approaches in AMD's Adaptive SoCs.

We will demonstrate the Vitis AI toolflow for mapping convolutional neural networks from the PyTorch modeling framework to running it on prepared platforms with the Deep Learning Processing Unit (DPU).

Course language: English

Book webinar

Contact

Michael Schwarz

+49 7664 91313-15

michael.schwarz@plc2.de

Details

Duration

11-12 am CET

Dates

Available formats for this training

AI on Edge Devices: Solving Image Recognition Tasks

11-12 am CET

€ 0

Webinar

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Contact

Call PLC2

+49 7664 91313-15

Send an e-mail

michael.schwarz@plc2.de

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Our face-to-face and online courses start daily at 9 a.m. (CET/CEST) and end at 5 p.m., with two coffee breaks and an extended lunch break. The total course time per day is 6 hours.

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All participants of paid courses will receive English training materials in electronic or paper form.

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Each participant of a paid PLC2 course will receive a signed certificate of attendance at the end of the course.

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12. What language is the course in?

Our webinars and online courses are conducted in English. All our F2F training courses are generally conducted in German. Feel free to contact us if you need face-to-face training in English or online training in German.