Where are we With AutoML?
AutoML aims to help everyone achieve state-of-the-art AI for their specific problems. Techniques such as Neural Architecture Search (NAS) push the boundary of finding efficient and high quality models. How is AutoML being used today and where is the field headed in the future? This talk gives an overview of AutoML techniques, exploring how they work and the challenges of applying them across different AI tasks and settings.
Adam Kraft is a machine learning engineer on the Google Brain Team, working on AutoML for a wide variety of AI tasks. Before Google, Adam spent eight years in computer vision and machine learning, working with satellite imagery at Orbital Insight and helping customers shop with their camera phones at Amazon.