Introduction to Embedded Machine Learning
WHAT YOU WILL LEARN IN THIS COURSE
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The basics of a machine learning system
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How to deploy a machine learning model to a microcontroller
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How to use machine learning to make decisions and predictions in an embedded system
This course will give you a broad overview of how machine learning works, how to train neural networks, and how to deploy those networks to microcontrollers, which is known as embedded machine learning or TinyML. You do not need any prior machine learning knowledge to take this course. Familiarity with Arduino and microcontrollers is advised to understand some topics as well as to tackle the projects. Some math (reading plots, arithmetic, algebra) is also required for quizzes and projects.
Course Rating : 4.8
Instructors : Shawn Hymel, Alexander Fred-Ojala
Offered By : Edge Impulse
Can I download Introduction to Embedded Machine Learning course?
You can download videos for offline viewing in the Android/iOS app. When course instructors enable the downloading feature for lectures of the course, then it can be downloaded for offline viewing on a desktop.Can I get a certificate after completing the course?
Yes, upon successful completion of the course, learners will get the course e-Certification from the course provider. The Introduction to Embedded Machine Learning course certification is a proof that you completed and passed the course. You can download it, attach it to your resume, share it through social media.Are there any other coupons available for this course?
You can check out for more Udemy coupons @ www.coursecouponclub.comDisclosure: This post may contain affiliate links and we may get small commission if you make a purchase. Read more about Affiliate disclosure here.
