Introduction to TensorFlow 2 0 - Paige Bailey Google

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.

About: Databricks provides a unified data analytics platform, powered by Apache Spark™, that accelerates innovation by unifying data science, engineering and business.

Connect with us:

[parthgajjar]

It's very helpful and sourcefull video many important topics are covered nicely and effectively.
AI developer gets many ideas from here ...
I really appreciate it 😊
Thanks to Paige Bailey.

[thobekile]

Wow, Paige, this is the second video I am seeing of you and I am really learning a lot. I will definitely be revisiting this video after I've gone through the course on udacity. How long before the other videos are available?

[bhesht]

What a lovely introduction! Thank you!

[miguelalba]

But for using low level API which tutorial is good, have been looking a way to convert my code with decorators and it is imposible to find a good tutorial