Machine learning (ML) allows us to teach computers to make predictions and decisions based on data and learn from experiences. In recent years, incredible optimizations have been made to machine learning algorithms, software frameworks, and embedded hardware. Thanks to this, running deep neural networks and other complex machine learning algorithms is possible on low-power devices like microcontrollers.
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Introduction to Embedded Machine Learning
Edge ImpulseÜber diesen Kurs
Some math (reading plots, arithmetic, and algebra) is required in the course. Recommended to have experience with embedded systems (e.g. Arduino).
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The basics of a machine learning system
How to deploy a machine learning model to a microcontroller
How to use machine learning to make decisions and predictions in an embedded system
Kompetenzen, die Sie erwerben
- Arduino
- Machine Learning
- Embedded System Design
- Microcontroller
- Computer Programming
Some math (reading plots, arithmetic, and algebra) is required in the course. Recommended to have experience with embedded systems (e.g. Arduino).
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Probieren Sie Coursera for Business ausvon
Lehrplan - Was Sie in diesem Kurs lernen werden
Introduction to Machine Learning
Introduction to Neural Networks
Audio classification and Keyword Spotting
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- 5 stars81,76 %
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Top-Bewertungen von INTRODUCTION TO EMBEDDED MACHINE LEARNING
Awesome course for beginners. I don't know how much of my background helped make this awesome, but it is awesome.
This is an excellent course taught by the best Teachers on AI. I enjoyed the course and learnt from scratch about AI, ML, NN and deep learning.
It was a good start for those who do not have prior knowledge on Machine Learning. It was a motivating course.
A really good introduction to Embedded Machine Learning! Shows the basics of machine learning and teaches how to apply it yourself with only the need of your smartphone. Totally recommended!
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