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Embedded Machine Learning Using Infineon’s ModusToolbox ML

tinyML via YouTube

Overview

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Explore embedded machine learning deployment for IoT, consumer, and industrial applications using Infineon's ModusToolbox ML in this 31-minute tinyML Talks webcast. Discover unique features tailored for small embedded platforms, learn about the roadmap for upcoming developments, and understand the differences between automotive and IoT requirements. Gain insights into the ModusToolbox ML goals, embedded ML development flow, and guiding principles. Watch a demonstration of the basic mode and participate in a Q&A session to deepen your understanding of this innovative tool for implementing machine learning on resource-constrained devices.

Syllabus

Introduction
Sponsor
Global Meetup
Local Committee
ModusToolbox ML
Automotive
Machine learning requirements
ModusToolbox ML goals
Embedded ML development flow
Why ModusToolbox
Guiding Principles
Demo
Basic mode
Questions

Taught by

tinyML

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