Abstract: 

As the practice of Machine Learning gets formalized, the community learns best practices of setting up large scale training loops and moving from development to production. In the talk, I introduce some of these design patterns, explaining the problem and the code for these patterns in Keras and Tensorflow 2.0.

Bio: 

Valliappa Lakshmanan is a Tech Lead in Google Cloud's Professional Services Organization. His mission is to democratize machine learning so that it can be done by anyone anywhere using Google's infrastructure, without deep knowledge of statistics, programming, or a lot of hardware.