Deep Learning with TensorFlow 2.0

Explore the updates and new features of TensorFlow 2.0 in this informative conference talk from EuroPython 2019. Gain an overview of the latest version's capabilities and dive deep into an example using its central high-level API, Keras. Learn how to build machine learning models in Python with TensorFlow 2.0 and discover exciting features like TensorFlow Terrace, TF Dot Function, Distribution Strategies, and TensorFlow Data Sets. Understand the reasons behind using Python for TensorFlow and get insights on upgrading to version 2.0. The 32-minute talk covers an introduction to TensorFlow, practical examples, and concludes with a Q&A session, providing a comprehensive understanding of this powerful deep learning framework.

Introduction
What is TensorFlow
Examples
Why Python
TensorFlow 20 Changes
TensorFlow Terrace
TF Dot Function
Distribution Strategies
TensorFlow Data Sets
Upgrading to TensorFlow 20
Extra Projects
Question Time