Beyond Machine Learning with NXP's i.MX 8M Plus Applications Processor (French) | NXP Semiconductors

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Beyond Machine Learning with NXP's i.MX 8M Plus Applications Processor (French)

Beyond Machine Learning with NXP's i.MX 8M Plus Applications Processor (French)

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About This Training

The i.MX 8M Plus Applications Processor with integrated machine learning acceleration capabilities opens new opportunities for industrial, security, retail and medical applications.

The i.MX 8M Plus will be launched in March, but prior to this event, NXP and Avnet Silica organized this webinar to provide an overview of use cases and solutions with the i.MX 8M Plus SoC, including system-on-modules (SoMs) from Avnet Integrated and Engicam.

The session consists of two parts: a general presentation and additional in-depth topics. The event is intended for both decision makers and engineers, and to anyone who is new or experienced using the i.MX 8M Plus processor.

Presentation

Beyond Machine Learning with NXP's i.MX 8M Plus Applications Processor (French)

What You Will Learn

Part 1

General presentation unveiling the i.MX 8M Plus SoC with a focus on device capabilities, use cases and solutions, making use of both a system-on-board and system-on-module approach

Part 2

Learn how to build your application from scratch on i.MX 8M Plus SoCs and SoMs
Implement complex, non-standard machine learning tasks: retail use case (extendable to industrial and medical use cases)
Explore reliable and secure edge storage for video surveillance applications
Learn more about the i.MX 8M Plus processor in Industry 4.0: implement real-time connectivity through time sensitive networking
Get started with eIQ^® machine learning software framework on NXP Semiconductors processors

期間

56 min

言語

フランス語

スキルレベル

初級編

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Additional Resources

i.MX 8M Plus

Review the 6 in-depth sessions

Related Trainings

Beyond Machine Learning with NXP's i.MX 8M Plus Applications Processor (English)

Beyond Machine Learning with NXP's i.MX 8M Plus Applications Processor (Italian)

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