Paige Bailey - Databricks

Paige Bailey

TensorFlow Developer Advocate, Google

Paige Bailey is a TensorFlow Developer Advocate at Google, based in Mountain View, CA. Prior to joining Google, Paige worked as a senior software engineer in the office of the Azure CTO; as a Cloud Developer Advocate for machine learning at Microsoft; and as a data scientist for Chevron in Houston, TX.

Paige has over a decade of experience using Python for data analysis, five years of experience doing machine learning – and can’t wait to show you about the new capabilities in TensorFlow 2.0.

UPCOMING SESSIONS

PAST SESSIONS

Introduction to TensorFlow 2.0Summit 2019

"TensorFlow 2.0 has landed! During this session, you’ll learn all about TensorFlow 2.0’s new features, usability enhancements, and focus on developer productivity with high-level APIs like Keras. We’ll use the TF2.0 migration tool to transition a model from TensorFlow 1.x to 2.0 and deploy an end-to-end machine learning model to using Google Colab. If you’re interested in using TensorFlow for your deep learning experiments, you won't want to miss this talk! WHAT YOU’LL LEARN: – New features and functionality in TensorFlow 2.0 – How to upgrade a model from TF 1.x to TF 2.0 – How to deploy an end-to-end TensorFlow model on Google Colab PREREQUISITES – All of the course content will be on Google Colab! – Students will need a laptop with access to the internet, ideally running Google Chrome. "

Introduction to TensorFlow 2.0 (continues)Summit 2019

"TensorFlow 2.0 has landed! During this session, you’ll learn all about TensorFlow 2.0’s new features, usability enhancements, and focus on developer productivity with high-level APIs like Keras. We’ll use the TF2.0 migration tool to transition a model from TensorFlow 1.x to 2.0 and deploy an end-to-end machine learning model to using Google Colab. If you’re interested in using TensorFlow for your deep learning experiments, you won't want to miss this talk! WHAT YOU’LL LEARN: – New features and functionality in TensorFlow 2.0 – How to upgrade a model from TF 1.x to TF 2.0 – How to deploy an end-to-end TensorFlow model on Google Colab PREREQUISITES – All of the course content will be on Google Colab! – Students will need a laptop with access to the internet, ideally running Google Chrome. "