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 ImpulseÀ propos de ce cours
Some math (reading plots, arithmetic, and algebra) is required in the course. Experience with the Python is recommended to complete the projects.
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Essayez Coursera pour les affairesCe que vous allez apprendre
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
Compétences que vous acquerrez
- 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.
Votre entreprise pourrait-elle bénéficier de la formation des employés à des compétences recherchées ?
Essayez Coursera pour les affairesOffert par
Programme de cours : ce que vous apprendrez dans ce cours
Image Classification
Convolutional Neural Networks
Object Detection
Avis
- 5 stars75,58 %
- 4 stars22,09 %
- 3 stars2,32 %
Meilleurs avis pour 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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