Schedule:

5:30 — Arrival, networking, food
6:00 — Workshop begins
7:00 — Discussion

Abstract:

In this workshop, we will introduce you to TensorFlow 2.0 and to model-building styles for beginners and experts, including sequential, functional, and subclassing APIs. You’ll see complete, end-to-end code examples in each style, from “Hello, world” all the way through advanced examples. We will also demonstrate how to deploy your trained models using TensorFlow Serving to support real-time and batch inference.

Prerequisites:

Attendees are welcome to bring a laptop and code along with us. All examples will be made available for reference. If you’d like to participate, please have Python 3.X installed, as well as Jupyter, TensorFlow 2.0, and Pandas

Speaker Bio:

Chris Wetherill is Lead Data Scientist at State Auto Insurance, where he and his team develop and deploy machine learning models to support data-driven decision making across the business.

Previously, he has worked in healthcare and the life sciences, having studied bioinformatics in Virginia Tech’s Translational Biology, Medicine, and Health PhD program after receiving an undergraduate degree in neuroscience.

Food and drink will be provided.