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.
AWS Computer Vision: Getting Started with GluonCVAmazon Web Services
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
Excellent way to get introduced to gluonCV and it powerful tools to run pre trained models using popular datasets on Compute vision, looking forward to apply the knowledge on remote sensing images.
Very well developed course. It's both an introduction to AWS for machine learning and hands-on labs on GluonCV. Would like to see a new course with more advanced topics!
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.
Comprehensive & Informative. I took nearly 12 weeks to complete the course. Worth the time. Highly recommended for anyone looking to get started with GluonCV.
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