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Semantic Segmentation with Amazon Sagemaker に戻る

Coursera Project Network による Semantic Segmentation 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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73件の評価
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13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 a Semantic Segmentation model 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 semantic segmentation algorithm from Sagemaker to create, train and deploy a model that will be able to segment images of dogs and cats from the popular IIIT-Oxford Pets Dataset into 3 unique pixel values. That is, each pixel of an input image would be classified as either foreground (pet), background (not a pet), or unclassified (transition between foreground and background). Since this is a practical, project-based course, we will not dive in the theory behind deep learning based semantic segmentation, 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)....

人気のレビュー

AA

2022年1月11日

I found the project to be a great step-by-step introduction to using notebooks within sagemaker in order to orchestrate training/deployment jobs!

MA

2021年3月7日

Thanks So Much Coursera Learning Platform i Learn lot of Skills from Here, and get start my Business www.facebook.com/MySalesWays

フィルター：

Semantic Segmentation with Amazon Sagemaker： 1 - 12 / 12 レビュー

by Tarun

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2021年7月1日

Some of the critical code is not working now. I think Coursera should achieve the course until things get updated by the instructor.

by Alireza A

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2022年1月12日

I found the project to be a great step-by-step introduction to using notebooks within sagemaker in order to orchestrate training/deployment jobs!

by Mustafa A

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2021年3月8日

Thanks So Much Coursera Learning Platform i Learn lot of Skills from Here, and get start my Business www.facebook.com/MySalesWays

by Mihir I

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2022年4月23日

Great ML Project using Amazon Sagemaker !

by Enrique A M

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2021年10月26日

That s very incredible course, thanks

by Devidas K

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2020年5月19日

It was Wonderful learning Experience

by SONALI H

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2021年10月30日

better experience

by Carlos A R Z

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2020年6月19日

Great course :3

by Pris A

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2021年2月18日

Perfect!

by ABDUL H H

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2021年4月4日

good

by Himanshu S

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2021年6月14日

Information given is not complete

by Maximilian B

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2020年7月3日

I am not very happy with this course. The instructor just rushes through some inside his formerly prepared jupyter notebook and his explanations on the actual code snippets are very short and not very understandable. Also he needs to work on his presentation skills as he struggles a lot during with finding the right words for his explanations during the course. This could have been prepared a lot better.

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