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Learner Reviews & Feedback for AWS Computer Vision: Getting Started with GluonCV by Amazon Web Services

4.6
stars
320 ratings
99 reviews

About the Course

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 reviews

DT

Mar 18, 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.

OS

Aug 30, 2020

This course is great and very helpful. It is highly recommended for anyone who wants to start using AWS especially for computer vision projects.

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51 - 75 of 99 Reviews for AWS Computer Vision: Getting Started with GluonCV

By Mayank

Jun 12, 2020

good course

By Megha S

May 15, 2020

Good course

By Aditya M P

Sep 12, 2020

Goo course

By muhammad A

Apr 23, 2020

impressive

By ABDUL J C

Sep 11, 2020

Excellent

By Sudhanshu S M

Jun 09, 2020

Amazing.

By Nitin M

Jul 15, 2020

Awesome

By Muhammad N A

Jun 24, 2020

Awsome

By Valisireddy M R

Jul 16, 2020

Super

By FAHAD N

Jul 07, 2020

Garda

By Tejavath T

Jun 22, 2020

great

By Miran k

Sep 10, 2020

nice

By Vikram R

Jul 29, 2020

Good

By Karthik S

Jul 26, 2020

GOOD

By Sahil J

Jul 24, 2020

nice

By Abhishek P G

Jul 22, 2020

nice

By Reddi M K

Jul 22, 2020

Good

By Pankaj R

Jul 05, 2020

Good

By laheri v

Jul 03, 2020

Good

By Abhijnan R

Jun 29, 2020

good

By HAREESH R

Jun 24, 2020

good

By Akaram r r

Jun 23, 2020

good

By T. A

Jun 20, 2020

good

By KOTTE J

Jun 10, 2020

Fair

By Rajeev y

Jun 09, 2020

good