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  • Course

Build an Image Classifier with Microsoft Azure Cognitive Service

Creating a tailored computer vision model can be long, complex, and require a full team of researchers. This course will teach you how to create a state of the art custom image classifier model in Microsoft Azure Custom Vision with just a few clicks.

Intermediate
58m
(16)

Created by Axel Sirota

Last Updated Jul 20, 2021

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  • Course

Build an Image Classifier with Microsoft Azure Cognitive Service

Creating a tailored computer vision model can be long, complex, and require a full team of researchers. This course will teach you how to create a state of the art custom image classifier model in Microsoft Azure Custom Vision with just a few clicks.

Intermediate
58m
(16)

Created by Axel Sirota

Last Updated Jul 20, 2021

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This course is included in the libraries shown below:

  • AI
  • Cloud
  • Data
What you'll learn

Microsoft Azure Custom Vision democratizes advanced computer vision techniques to everyone creating state of the art models in a few clicks. In this course, Build an Image Classifier with Microsoft Azure Cognitive Service, you’ll gain the ability to create a state of the art custom image classifier model in Microsoft Azure Custom Vision. First, you’ll explore the model lifecycle. Next, you’ll discover how to train and improve a model in Custom Vision. Finally, you’ll learn how to deploy a Custom Vision model anywhere. When you’re finished with this course, you’ll have the skills and knowledge of Microsoft Azure Custom Vision needed to create a state of the art custom image classifier model.

Build an Image Classifier with Microsoft Azure Cognitive Service
Intermediate
58m
(16)
Table of contents

About the author
Axel Sirota - Pluralsight course - Build an Image Classifier with Microsoft Azure Cognitive Service
Axel Sirota
36 courses 3.6 author rating 1141 ratings

Axel Sirota has a Masters degree in Mathematics with a deep interest in Deep Learning and Machine Learning Operations. After researching in Probability, Statistics and Machine Learning optimization, he is currently working at JAMPP as a Machine Learning Research Engineer leveraging customer data for making accurate predictions at Real Time Bidding.

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