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AI-900: How to Train a Classification Model with Azure Custom Vision

Learn how to train a classification model with Azure Custom Vision, a cloud-based service that allows you to create custom image classification models without coding.

Question

To train a classification model, you must upload images to your training resource and label them with the appropriate class labels. True or False?

A. True
B. False

Answer

A. True

Explanation

To train a classification model, you must upload images to your training resource and label them with the appropriate class labels.

The correct answer is A. True. To train a classification model, you must upload images to your training resource and label them with the appropriate class labels. This is because a classification model is a type of supervised learning algorithm that assigns a category or a class to an input image based on its features. For example, a classification model can identify whether an image contains a dog or a cat. To train such a model, you need to provide it with a set of labeled images, where each image has a class label that indicates what it contains. The model then learns to recognize the patterns and features that distinguish different classes from each other. The more images and labels you provide, the more accurate the model will be.

To upload and label images for a classification model, you can use the Azure Custom Vision service, which is a part of the Azure Cognitive Services. Azure Custom Vision is a cloud-based service that allows you to easily create and deploy custom image classification models without any coding or machine learning expertise. You can use the Azure Custom Vision portal or the Custom Vision SDK to upload your images and assign them to different classes or tags. You can also use the portal or the SDK to train, test, and publish your model as an endpoint that can be accessed by other applications.

Microsoft Azure AI Fundamentals AI-900 certification exam practice question and answer (Q&A) dump with detail explanation and reference available free, helpful to pass the Microsoft Azure AI Fundamentals AI-900 exam and earn Microsoft Azure AI Fundamentals AI-900 certification.

Microsoft Azure AI Fundamentals AI-900 certification exam practice question and answer (Q&A) dump

Alex Lim is a certified IT Technical Support Architect with over 15 years of experience in designing, implementing, and troubleshooting complex IT systems and networks. He has worked for leading IT companies, such as Microsoft, IBM, and Cisco, providing technical support and solutions to clients across various industries and sectors. Alex has a bachelor’s degree in computer science from the National University of Singapore and a master’s degree in information security from the Massachusetts Institute of Technology. He is also the author of several best-selling books on IT technical support, such as The IT Technical Support Handbook and Troubleshooting IT Systems and Networks. Alex lives in Bandar, Johore, Malaysia with his wife and two chilrdren. You can reach him at [email protected] or follow him on Website | Twitter | Facebook

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