Chevron Left
Retour à Image Classification with Amazon Sagemaker

Avis et commentaires pour d'étudiants pour Image Classification with Amazon Sagemaker par Coursera Project Network

4.6
étoiles
97 évaluations

À propos du cours

Please note: You will need an AWS account to complete this course. Your AWS account will be charged as per your usage. Please make sure that you are able to access Sagemaker within your AWS account. If your AWS account is new, you may need to ask AWS support for access to certain resources. You should be familiar with python programming, and AWS before starting this hands on project. We use a Sagemaker P type instance in this project, and if you don't have access to this instance type, please contact AWS support and request access. In this 2-hour long project-based course, you will learn how to train and deploy an image classifier using Amazon Sagemaker. Sagemaker provides a number of machine learning algorithms ready to be used for solving a number of tasks. We will use the image classification algorithm from Sagemaker to create, train and deploy a model that will be able to classify 37 breeds of dogs and cats from the popular IIIT-Oxford Pets Dataset. Since this is a practical, project-based course, we will not dive in the theory behind deep learning based image classification, but will focus purely on training and deploying a model with Sagemaker. You will also need to have some experience with Amazon Web Services (AWS). Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions....

Meilleurs avis

DZ

1 mai 2020

This course is very helpful for you to create a warmup code with AWS Sagemaker and image classification.

SG

6 oct. 2020

I love this course. Need to know more about custom mage codes in sagemaker.

Filtrer par :

1 - 15 sur 15 Avis pour Image Classification with Amazon Sagemaker

par Changwoo H

•

17 avr. 2021

This is Not 2hr course. It's takes 24hr or more. Instructor should have announced about train instances are not available in most of the cases. To extend limits students have to wait response of aws.

par DINESH A Z

•

2 mai 2020

This course is very helpful for you to create a warmup code with AWS Sagemaker and image classification.

par T S G

•

7 oct. 2020

I love this course. Need to know more about custom mage codes in sagemaker.

par Karem B

•

11 sept. 2020

very easy step by step guided project

par SUGUNA M

•

19 nov. 2020

Good project based course

par XAVIER S M

•

31 mai 2020

Thank You !

par Doss D

•

24 juin 2020

Thank you

par purnachand k

•

12 mai 2020

Excellent

par Md. T U B

•

2 sept. 2020

great

par p s

•

22 juin 2020

Nice

par Florian C

•

18 avr. 2021

You get the basics explained quick and dirty but there will be still much you do not understand and have to learn about after this project both regarding SageMaker and its libraries as well as building and deploying ML models in general .

par Matapathi S

•

15 juin 2020

Thank you

par SAI P M

•

29 juin 2020

not bad

par Wen-Wei X

•

5 avr. 2021

too simple, did not show the overall accuracy in validation test set and potential way to improve it

par Tobias H

•

25 juil. 2020

i want to the loading data and more

Coursera Footer

Commencez ou faites progresser votre carrière

Cours et certifications populaires

Collections et articles populaires

Obtenez un diplôme ou un certificat en ligne

Coursera

Communauté

Plus

Apprendre partout
Placeholder
Placeholder
Placeholder