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Image Classification with Amazon Sagemaker に戻る

Coursera Project Network による Image Classification with Amazon Sagemaker の受講者のレビューおよびフィードバック

4.6
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92件の評価
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15件のレビュー

コースについて

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....

人気のレビュー

DZ

2020年5月1日

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

SG

2020年10月6日

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

フィルター：

Image Classification with Amazon Sagemaker： 1 - 15 / 15 レビュー

by DINESH A Z

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2020年5月2日

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

by T S G

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2020年10月7日

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

by Karem B

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2020年9月11日

very easy step by step guided project

by SUGUNA M

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2020年11月19日

Good project based course

by XAVIER S M

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2020年5月31日

Thank You !

by Doss D

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2020年6月24日

Thank you

by purnachand k

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2020年5月12日

Excellent

by Md. T U B

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2020年9月2日

great

by p s

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2020年6月22日

Nice

by Florian C

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2021年4月18日

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 .

by Matapathi S

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2020年6月15日

Thank you

by SAI P M

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2020年6月29日

not bad

by Changwoo H

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2021年4月17日

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.

by Wen-Wei X

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2021年4月5日

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

by Tobias H

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2020年7月25日

i want to the loading data and more

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