Getting Your Data Ready to Train Computer Vision Models Using Azure Machine Learning

This course is a part of Microsoft Ignite 2019: Breakouts, a 69-course Paths series from Pluralsight.

In this session, we take a detailed look at how you can use Azure Machine Learning data management and processing capabilities to prepare your data and train computer vision models. See how Azure ML datasets provide ease of access, tracking, and seamless integration with Azure ML components such as Labeling, Visual Interface, Automated ML, Script Run, Estimator, Hyperdrive, and Pipelines. Also, understand how Azure ML Data Labeling enables you to obtain annotations against your data with the help of the domain experts or private workforce within your organization. Join this session to learn how to use these capabilities to generate annotated datasets that you can quickly apply for training using deep learning frameworks.