The Custom Vision Service is a machine learning algorithm, provided as a service, supporting image classification for the subject of your choice. This course will show you how to train a model and to integrate it into a variety of applications.
The Microsoft Cognitive Services, hosted in Azure, provides a range of APIs that support developers in integrating artificial intelligence (AI) features within their applications. In this course, Microsoft Azure Cognitive Services: Custom Vision API, you will gain the ability to work with the Custom Vision Service, understand its benefits and limitations, create, train and improve an image classification model, and work with it within a range of applications. First, you will learn about the problem of image classification that the Custom Vision Service is designed to solve, and how you can create a model for image recognition dedicated to your subject of interest. Next, you will discover via the service APIs how you can integrate image prediction and model training functionality into your own web applications. Finally, you will explore how to export the model for use in offline contexts, such as within a desktop application or embedded in a mobile app. When you are finished with this course, you will have the skills and knowledge of working with the Custom Vision Service needed to develop and use your own classification models to provide image recognition.
The Microsoft Cognitive Services, hosted in Azure, provides a range of APIs that support developers in integrating artificial intelligence (AI) features within their applications. In this course, Microsoft Azure Cognitive Services: Custom Vision API, you will gain the ability to work with the Custom Vision Service, understand its benefits and limitations, create, train and improve an image classification model, and work with it within a range of applications. First, you will learn about the problem of image classification that the Custom Vision Service is designed to solve, and how you can create a model for image recognition dedicated to your subject of interest. Next, you will discover via the service APIs how you can integrate image prediction and model training functionality into your own web applications. Finally, you will explore how to export the model for use in offline contexts, such as within a desktop application or embedded in a mobile app. When you are finished with this course, you will have the skills and knowledge of working with the Custom Vision Service needed to develop and use your own classification models to provide image recognition.
