Machine learning is a blazing topic today. Data scientists love the power of machine learning frameworks such as TensorFlow. However, software developers can struggle with a TensorFlow based machine learning solution on Azure.

In this talk, I will show you how to use TensorFlow to design a deep learning neural network, train, and save the model. I will show how easy it can be to create a service from this model with the Azure Machine Learning Service.

We will cover data ingestion, experiments, model management, and deployment. After this talk, you will have a basic understanding of Azure Machine Learning service, the key concepts and workflows involved and how to set up machine learning DevOps.

About the speakers

About the speakers

Patrick Zhao

Patrick Zhao is a Senior Software Architect at SSW. He has +6 years of experience in the FinTech industry and during that time Patrick has delivered a number of different data analytics and machine learning solutions. Patrick is enthusiastic for cloud technology and machine learning DevOps.

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