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學生對 亚马逊网络服务系统 提供的 AWS Computer Vision: Getting Started with GluonCV 的評價和反饋

4.4
85 個評分
25 條評論

課程概述

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....

熱門審閱

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.

PW

Apr 24, 2020

Course is good i learned something new i did not know anything about machine learning but after doing this course i feel good

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1 - AWS Computer Vision: Getting Started with GluonCV 的 25 個評論(共 30 個)

創建者 David T

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.

創建者 Robert L

Mar 24, 2020

This has been a wonderful introduction to Computer Vision with GluonCV. Very clear details in each of the videos.

創建者 GOUGOUA D A

Jan 28, 2020

It was a great pleasure to learn this course and I recommend it to all.

創建者 Sandeep K L

Mar 30, 2020

This course was harder than the others in-spite of the tremendous effort put in by every instructor and guide. But looking at the topic it was well justified and thus brought in a greater sense of accomplishment and confidence as now I can not just say couple of buzzwords but know that I can develop and deploy stuff on my own. Thank you all for your hard work and it was great struggling though those hands on labs and learning and figuring out the consent step by step. Wish for more such courses from AWS.

創建者 Tran N M T

Apr 24, 2020

Excellent course. A very good introduction to Computer Vision. This course does not require pre-requisite knowledge in Machine Learning and Deep Learning, since most important core concepts will be covered here. I really like the deep dive into GluonCV that helps me build my own Neural Network for Computer Vision applications.

創建者 Rahul C

May 22, 2020

If you want to start out with Computer Vision and all, this is a fantastic cours to start with. In this course they teach you basics and you create your own basic neural networks and understand the workings of a neural network and how Computer Vision works. Thank you to the coursera team as well as AWS team.

創建者 Debaleen D S

May 07, 2020

Good course. I learnt how to use pretrained machine learning models to perform image classsification and object detection tasks. I also learnt how to use mxnet and its components for various data manipulation tasks. The course explains the GluonCV model zoo elaborately.

創建者 Rahul K P

May 24, 2020

amazing course to learn more about different computer vision models such as yolo ,mxnet etc.easy to understand and assignments are very well planned really enjoyed completing them and learned alot from this course. deeply appreciate this course.

創建者 M V R

May 25, 2020

It is hard to recollect the videos and text to complete assignments especially module5. But overall the course instructors have explained well and could able to solve all the assignments by checking with documentation and forums.

創建者 Gourav D

May 25, 2020

Very good course. I was a fan of openCv but now I think it will change.

Just a suggestion that support could have been better and faster.

創建者 Pravin A W

Apr 24, 2020

Course is good i learned something new i did not know anything about machine learning but after doing this course i feel good

創建者 Hamid R A

May 25, 2020

The Best course I've ever followed on Coursera. Thank you, Amazon and AWS!

創建者 Adhavraj N

May 09, 2020

The Programming assignments helped in better understanding of the courses.

創建者 Santosh S S

May 02, 2020

Great Experience!!!

Best Course Instructors,Excellent Course

創建者 Aditya h

May 14, 2020

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

創建者 Manish P

May 11, 2020

Learnt a lot... Thank You Coursera & AWS

創建者 Edgar I

Apr 15, 2020

Excelente curso, muy recomendable!

創建者 Gokulakannan S

Apr 23, 2020

The course was top notch

創建者 Maksim K

May 10, 2020

nice starter pack

創建者 Megha R

May 15, 2020

Good course

創建者 Muhammad A F

Apr 23, 2020

impressive

創建者 FENIL S

May 19, 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.

創建者 Kuldeep S

May 21, 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.

創建者 Austin W

Mar 30, 2020

Pretty good for what it is. I think they should create an advanced course on coding an object detector from scratch.

創建者 Rachit S

May 20, 2020

some topics could have been explained more in detail