Build your first deep learning solution using Azure Automated ML

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

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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