This course provides an overview of Computer Vision (CV), Machine Learning (ML) with Amazon Web Services (AWS), and how to build and train a CV model using the Apache MXNet and GluonCV toolkit. The course discusses artificial neural networks and other deep learning concepts, then walks through how to combine neural network building blocks into complete computer vision models and train them efficiently.
About this Course
Amazon Web Services
Since 2006, Amazon Web Services has been the world’s most comprehensive and broadly adopted cloud platform. AWS offers over 90 fully featured services for compute, storage, networking, database, analytics, application services, deployment, management, developer, mobile, Internet of Things (IoT), Artificial Intelligence, security, hybrid and enterprise applications, from 44 Availability Zones across 16 geographic regions. AWS services are trusted by millions of active customers around the world — including the fastest-growing startups, largest enterprises, and leading government agencies — to power their infrastructure, make them more agile, and lower costs.
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TOP REVIEWS FROM AWS COMPUTER VISION: GETTING STARTED WITH GLUONCV
I really liked this class. The labs were fun to do. I am hoping to pass the AWS Machine Learning certification and I am hoping this class got me closer to that goal.
This course is great and very helpful. It is highly recommended for anyone who wants to start using AWS especially for computer vision projects.
Very good course. I was a fan of openCv but now I think it will change. Just a suggestion that support could have been better and faster.
This is a great course , i have learned a lot .... Thank you for making this course. and thank you to the whole aws team and coursera ..
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