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Вернуться к Semantic Segmentation with Amazon Sagemaker

Отзывы учащихся о курсе Semantic Segmentation with Amazon Sagemaker от партнера Coursera Project Network

4.6
звезд
Оценки: 73
•
Рецензии: 13

О курсе

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)....

Лучшие рецензии

AA

11 янв. 2022 г.

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

7 мар. 2021 г.

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

Фильтр по:

1–12 из 12 отзывов о курсе Semantic Segmentation with Amazon Sagemaker

автор: Tarun

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1 июля 2021 г.

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

автор: Alireza A

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12 янв. 2022 г.

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

автор: Mustafa A

•

8 мар. 2021 г.

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

автор: Mihir I

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23 апр. 2022 г.

Great ML Project using Amazon Sagemaker !

автор: Enrique A M

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26 окт. 2021 г.

That s very incredible course, thanks

автор: Devidas K

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19 мая 2020 г.

It was Wonderful learning Experience

автор: SONALI H

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30 окт. 2021 г.

better experience

автор: Carlos A R Z

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19 июня 2020 г.

Great course :3

автор: Pris A

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18 февр. 2021 г.

Perfect!

автор: ABDUL H H

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4 апр. 2021 г.

good

автор: Himanshu S

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14 июня 2021 г.

Information given is not complete

автор: Maximilian B

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3 июля 2020 г.

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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