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Bewertung und Feedback des Lernenden für AWS Computer Vision: Getting Started with GluonCV von Amazon Web Services

384 Bewertungen
108 Bewertungen

Über den Kurs

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. This course covers AWS services and frameworks including Amazon Rekognition, Amazon SageMaker, Amazon SageMaker GroundTruth, and Amazon SageMaker Neo, AWS Deep Learning AMIs via Amazon EC2, AWS Deep Learning Containers, and Apache MXNet on AWS. The course is comprised of video lectures, hands-on exercise guides, demonstrations, and quizzes. Each week will focus on different aspects of computer vision with GluonCV. In week one, we will present some basic concepts in computer vision, discuss what tasks can be solved with GluonCV and go over the benefits of Apache MXNet. In the second week, we will focus on the AWS services most appropriate to your task. We will use services such as Amazon Rekognition and Amazon SageMaker. We’ll review the differences between AWS Deep Learning AMIs and Deep Learning containers. Finally, there are demonstrations on how to set up each of the services covered in this module. Week three will focus on setting up GluonCV and MXNet. We will look at using pre-trained models for classification, detection and segmentation. During week four and five, we will go over the fundamentals of Gluon, the easy-to-use high-level API for MXNet: understanding when to use different Gluon blocks, how to combine those blocks into complete models, constructing datasets, and writing a complete training loop. In the final week, there will be a final project where you will apply everything you’ve learned in the course so far: select the appropriate pre-trained GluonCV model, apply that model to your dataset and visualize the output of your GluonCV model....


17. März 2020

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.

1. Mai 2021

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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26 - 50 von 108 Bewertungen für AWS Computer Vision: Getting Started with GluonCV


11. Juni 2020

This course is very effective to understand GluonCV for Computer Vision.

von bencherif

16. Mai 2021

It would be nice to introduce more about mxnet capabilities...,

von Yves C

10. Juni 2020

Loved the course, a good mix of theory and practical exercises.

von Ansari A M

9. Juli 2020

The course was very helpful, all thanks to team coursera !!!!

von Karm P P

26. Juli 2020

its very good to learn step by step....thanks a lot coursera

von Santosh S S

2. Mai 2020

Great Experience!!!

Best Course Instructors,Excellent Course

von Aditya h

14. Mai 2020

enjoyed the course. great way to learn how to use GluonCV

von Soumya P

16. Sep. 2020

Its a great experience for me to work with mxnet

von Chiang B H

2. Juli 2020

Well explained course. Great programming test!

von Vishal V G

13. Juli 2020

It was a very useful and needful session.

von Deleted A

25. Juni 2020

I am learn AWS COMPUTER VISION very easy

von Manish P

11. Mai 2020

Learnt a lot... Thank You Coursera & AWS

von Edgar I

15. Apr. 2020

Excelente curso, muy recomendable!

von Clinton E

11. Aug. 2020

I am very satisfied! nice course!


29. Juli 2020

best course ever on this platform

von Mohit N

16. Juli 2020

Best course on computer vision

von Aman h

9. Juni 2020

Valuable knowledge I received

von Mithun S

6. Jan. 2021

its usefull to me and nice

von Madhumitha S M

20. Juli 2020

This course is upto stack

von Gokulakannan S

23. Apr. 2020

The course was top notch

von Angga N

30. Okt. 2020

its very good course


15. Juli 2020

Amazing experience!!

von Muhammad S A

3. Juni 2020

Excellent Course.

von Maksim K

10. Mai 2020

nice starter pack

von Prashant K G

13. Juni 2020

excellent course