Computer vision (CV) is a fascinating field of study that attempts to automate the process of assigning meaning to digital images or videos. In other words, we are helping computers see and understand the world around us! A number of machine learning (ML) algorithms and techniques can be used to accomplish CV tasks, and as ML becomes faster and more efficient, we can deploy these techniques to embedded systems.
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Computer Vision with Embedded Machine Learning
Edge ImpulseAbout this Course
Some math (reading plots, arithmetic, and algebra) is required in the course. Experience with the Python is recommended to complete the projects.
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessWhat you will learn
How to train and develop an image classification system using machine learning
How to train and develop an object detection system using machine learning
How to deploy a machine learning model to a microcontroller
Skills you will gain
- Machine Learning
- Python Programming
- Microcontroller
- Embedded System Development
- Computer Programming
Some math (reading plots, arithmetic, and algebra) is required in the course. Experience with the Python is recommended to complete the projects.
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessOffered by
Syllabus - What you will learn from this course
Image Classification
Convolutional Neural Networks
Object Detection
Reviews
- 5 stars76.13%
- 4 stars21.59%
- 3 stars2.27%
TOP REVIEWS FROM COMPUTER VISION WITH EMBEDDED MACHINE LEARNING
3rd week was pretty fast and a lot more information can be added in it,
i think the course should be 4th week long.
still one of the best course to done
Great course, Shawn always explains things in a clear and engaging way, with a strong focus on the application of the concepts. I'm definitely looking forward to more courses on embedded ML!
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