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

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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....

Top-Bewertungen

DT
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.

BC
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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76 - 100 von 108 Bewertungen für AWS Computer Vision: Getting Started with GluonCV

von Abhijnan R

29. Juni 2020

good

von HAREESH R

24. Juni 2020

good

von Akaram R

23. Juni 2020

good

von T. A

20. Juni 2020

good

von KOTTE J

10. Juni 2020

Fair

von Rajeev y

9. Juni 2020

good

von Chathura S R

9. Juni 2020

good

von Aymen R

25. Juni 2020

I

von FENIL S

19. Mai 2020

This course is very good with its contents of the beginners in Computer Vision. The course covers the End--to-End process for the computer vision tasks along with the related theoretical concepts.

The course also includes some of the practice assignments which are graded to test the knowledge and understanding of the students.

Looking after for other such courses related to other advance concepts of computer vision and machine learning.

von kieran c

15. Nov. 2020

you really need a theoretical background in AI before you start. The labs were ok, but it would have been an awful lot better if a preconfigured VM was exposed on AWS or a proper image was made available for docker.

The course was a bit confused i.e. the AWS soft sell, then rapid change to advanced theory and code, but I have to say it was very good.

von Kuldeep S

21. Mai 2020

The course is structured very well, being a first time learner having some knowledge of neural network and jupyter notebook, it was easy to understand. During the course it was hard to create assignment questions but they were really needed to clear concept. Overall It is good course.

von Adrian L

4. Mai 2021

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.

von Michael L

16. Juni 2020

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!

von M. H A P

21. Aug. 2020

Graded Assignment is too hard, not recommended for beginner

von Rachit S

20. Mai 2020

some topics could have been explained more in detail

von VIRENDRAKUMAR A D

28. Mai 2020

Very informative course. I learned a lot ...

von Bhagya S

15. Aug. 2021

good, but it's not a beginner course

von Abrar M

25. Mai 2020

not beginner-level course

von Umesh k s

30. Juni 2020

Best cource for student

von Bhargav M

12. Juni 2020

Good for knowledge

von Ashish K

11. Juni 2020

great learning

von Ravi R S

26. Juli 2020

great course

von JAMOD V K

10. Juni 2020

help thanks

von Hemanth K y

7. Juli 2020

good

von Vanshika S 5

27. Juni 2020

This is a beginner course but is does not seems like that.

Some more details and explanations of the programming part would really help to the students like me who don't have any past experience with machine learning.