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.

Past sessions

Summit 2019 Introduction to TensorFlow 2.0 Paige Bailey

April 24, 2019 05:00 PM PT

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.

Summit 2019 Introduction to TensorFlow 2.0 (continues)

April 24, 2019 05:00 PM PT

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.