30 minutes to run machine learning on MCU: Experience from experts, do you want to learn?
As machine learning becomes more and more widely used, artificial intelligence, deep learning, and neural networks are no longer just the research scope of data experts and artificial intelligence experts. Nowadays, more and more application developers and engineers are using these technologies to enrich product functions and improve our lives.
NXP eIQ provides a complete set of comprehensive flow tools that support i.MX RT crossover MCU and i.MX application processor platforms, greatly simplifying and accelerating machine learning related application development.
In this live training, technical experts from NXP Semiconductors systematically introduced the eIQ machine learning software tool , including the use of its graphical interface-based development tools and an introduction to the inference engine. They also demonstrated with examples how the eIQ tool can help developers quickly and easily develop AI applications based on the MCU platform.
Friends who want to run machine learning and play with AI on MCU, come and listen!
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Wonderful live broadcast replay
main content
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About NXP eIQ Software Development Tools
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How to use NXP eIQ software development tools
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Deploy machine learning examples on NXP crossover MCUs
Keynote Speakers
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Song Yan, Chief System and Application Engineer at NXP Semiconductors, Member of the Embedded System Committee of the China Computer Society
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Shen Liang, Marketing Manager, NXP Semiconductors
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