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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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51 - 75 von 108 Bewertungen für AWS Computer Vision: Getting Started with GluonCV

von shashi K K

16. Juni 2020

Fantastic class

von MD A R A

26. Juni 2020

Excellent!!!

von Abhas S

9. Juni 2020

Great Course

von Prasanga N D

28. Juli 2020

good course

von Aninkan G

23. Juni 2020

Nice course

von Mayank K

12. Juni 2020

good course

von Megha S

15. Mai 2020

Good course

von Aditya M P

12. Sep. 2020

Goo course

von muhammad A

23. Apr. 2020

impressive

von ABDUL J C

11. Sep. 2020

Excellent

von Sudhanshu S M

9. Juni 2020

Amazing.

von Nitin M

15. Juli 2020

Awesome

von Muhammad N A

24. Juni 2020

Awsome

von Valisireddy M R

16. Juli 2020

Super

von WARM B B

7. Juli 2020

Garda

von THARUN T

22. Juni 2020

great

von aditya p k

18. Juni 2021

good

von Miran k

9. Sep. 2020

nice

von Vikram R

29. Juli 2020

Good

von Karthik S

26. Juli 2020

GOOD

von Sahil J

24. Juli 2020

nice

von Abhishek P G

22. Juli 2020

nice

von Reddi M K

22. Juli 2020

Good

von Pankaj R

5. Juli 2020

Good

von laheri v

3. Juli 2020

Good