Using Archai to search for best Face Segmentation model on Azure ML

This video shows how to use the Archai search framework to find the best possible face segmentation model on Azure ML including a check that the models work well on Qualcomm Snapdragon hardware.
– 00:00 – intro
– 02:08 – aml.py pipeline entry point
– 03:12 – demo
– 05_20 – parallel training on a gpu cluster
– 06:15 – the status table
– 08:34 – snapdragon quantization pipeline

See https://github.com/microsoft/archai

Speaker Bios

Chris is a Principal Software Developer who joined Microsoft in ’97 and has worked on everything from XML, IE, .NET, SQL, Visual Studio, and Windows and joined Microsoft Research in 2015.