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Computer Vision with Azure Custom Vision

20 april, 2023 | 3:00 em - 4:00 em (UTC) 协调世界时

Format:
直播

Område: 数据科学和机器学习

Språk: 英语

This session is part of Game of Learners Clinics for AI and ML Series, learn more and register for the events here: Game of Learners Clinics for AI and ML Series

What is this session about?
In this session, we will explore how to use Azure Custom Vision to build computer vision applications. We will cover how to train a custom vision model, including how to upload and tag images, train and evaluate the model, and export it for deployment.

Who is it aimed at?
The Game of Learners sessions are designed for students and individuals who are interested in learning about Azure AI and building end-to-end AI solutions. Whether you are new to AI or have some experience, these sessions will provide you with hands-on experience and practical knowledge of key AI concepts, tools, and processes. By the end of the sessions, you will be equipped with the skills and knowledge needed to build intelligent applications using Azure AI services, and have a better understanding of how to use AI to solve real-world problems.

Why should members attend?
By the end of the session, you will have hands-on experience with building a custom vision model using Azure Custom Vision.

Continue the learning journey: Classify endangered bird species with Custom Vision

Speaker: Ekaterina Marinova

Ekaterina Marinova is a professional in the area of Data and AI , who is focusing on bringing technology closer to business. With a 3 year experience as an AI Microsoft MVP and currently a technology Consulting Manager for Accenture, she is actively exploring the opportunities and hidden treasures within the Artificial Intelligence World. Starting her career in Microsoft , and further working for partner companies and customers, Ekaterina has been building a holistic view of the AI applications from vendor to end customer perspective, to further working with students and communities. What she finds as the key to this world, would be sharing knowledge and building the proper AI ecosystem.

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