Making neural networks portable with ONNX

The world of machine learning frameworks is complex. What if we can use the lightest framework for inferencing on edge devices? That’s the idea behind ONNX format. Attend this session and find out how to train models using the framework of your choice, save or convert models into ONNX, and deploy to cloud and edge using a high-performance runtime in python, C# or javascript.

During the day, Ron Dagdag is a Lead Software Engineer with 20+ years of experience working on a number of business applications using a diverse set of frameworks and languages. He currently support developers at Spacee with their IoT, Cloud and ML development. On the side, Ron Dagdag is active participant in the community as a Microsoft MVP, speaker, maker and blogger. He is passionate about Augmented Intelligence, studying the convergence of Augmented Reality/Virtual Reality, Machine Learning and the Internet of Things. @rondagdag