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学生对 亚马逊网络服务系统 提供的 AWS Computer Vision: Getting Started with GluonCV 的评价和反馈

4.6
378 个评分
107 条评论

课程概述

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....

热门审阅

DT
Mar 17, 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
May 1, 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 - AWS Computer Vision: Getting Started with GluonCV 的 75 个评论(共 107 个)

创建者 shashi K K

Jun 16, 2020

Fantastic class

创建者 MD A R A

Jun 26, 2020

Excellent!!!

创建者 Abhas S

Jun 9, 2020

Great Course

创建者 Prasanga N D

Jul 28, 2020

good course

创建者 Aninkan G

Jun 23, 2020

Nice course

创建者 Mayank K

Jun 12, 2020

good course

创建者 Megha S

May 15, 2020

Good course

创建者 Aditya M P

Sep 12, 2020

Goo course

创建者 muhammad A

Apr 23, 2020

impressive

创建者 ABDUL J C

Sep 11, 2020

Excellent

创建者 Sudhanshu S M

Jun 9, 2020

Amazing.

创建者 Nitin M

Jul 15, 2020

Awesome

创建者 Muhammad N A

Jun 24, 2020

Awsome

创建者 Valisireddy M R

Jul 16, 2020

Super

创建者 WARM B B

Jul 7, 2020

Garda

创建者 THARUN T

Jun 22, 2020

great

创建者 aditya p k

Jun 18, 2021

good

创建者 Miran k

Sep 9, 2020

nice

创建者 Vikram R

Jul 29, 2020

Good

创建者 Karthik S

Jul 26, 2020

GOOD

创建者 Sahil J

Jul 24, 2020

nice

创建者 Abhishek P G

Jul 22, 2020

nice

创建者 Reddi M K

Jul 22, 2020

Good

创建者 Pankaj R

Jul 5, 2020

Good

创建者 laheri v

Jul 3, 2020

Good