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Introduction
2
What is TensorFlow
3
Examples
4
Why Python
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TensorFlow 20 Changes
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TensorFlow Terrace
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TF Dot Function
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Distribution Strategies
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TensorFlow Data Sets
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Upgrading to TensorFlow 20
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Extra Projects
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Question Time
Description:
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.

Deep Learning with TensorFlow 2.0

EuroPython Conference
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