AutoML (Automated Machine Learning) provides methods and processes to accelerate research on Machine Learning and to make Machine Learning available for non-Machine Learning experts. In this talk, I will dive into automML tech under the hood and introduce:
The overall of Google AutoML
How to apply AutoML to push the boundary of research
How to design and build an end2end AutoML product
AutoML applications on vision, tabular data and on-device/edge problems
Yifeng Lu
Staff engineer and manager from Google Brain team. Tech lead of Google first AutoML product: Cloud AutoML Vision. Tech lead of AutoML applications cross multiple Google products
Apr 12, 10:00 AM PDT 
