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What's New in TensorFlow 2.0

You're reading from   What's New in TensorFlow 2.0 Use the new and improved features of TensorFlow to enhance machine learning and deep learning

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Product type Paperback
Published in Aug 2019
Publisher Packt
ISBN-13 9781838823856
Length 202 pages
Edition 1st Edition
Languages
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Authors (3):
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Tanish Baranwal Tanish Baranwal
Author Profile Icon Tanish Baranwal
Tanish Baranwal
Alizishaan Khatri Alizishaan Khatri
Author Profile Icon Alizishaan Khatri
Alizishaan Khatri
Ajay Baranwal Ajay Baranwal
Author Profile Icon Ajay Baranwal
Ajay Baranwal
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Table of Contents (13) Chapters Close

Preface 1. Section 1: TensorFlow 2.0 - Architecture and API Changes FREE CHAPTER
2. Getting Started with TensorFlow 2.0 3. Keras Default Integration and Eager Execution 4. Section 2: TensorFlow 2.0 - Data and Model Training Pipelines
5. Designing and Constructing Input Data Pipelines 6. Model Training and Use of TensorBoard 7. Section 3: TensorFlow 2.0 - Model Inference and Deployment and AIY
8. Model Inference Pipelines - Multi-platform Deployments 9. AIY Projects and TensorFlow Lite 10. Section 4: TensorFlow 2.0 - Migration, Summary
11. Migrating From TensorFlow 1.x to 2.0 12. Other Books You May Enjoy

Major changes in TF 2.0

The major changes that you will experience while migrating from TF 1.x to TF 2.0 concern API cleanup.

Many of the APIs in TF 2.0 have either been removed or moved. Major changes include the removal of tf.app, tf.flags, and tf.logging in favor of other Python modules, such as absl-py and the built-in logging system.

One of the largest changes that has been made in TF 2.0 code-wise is eager execution. TF 1.x requires users to manually stitch an abstract syntax tree using tf.* calls to build a computational graph, which it will run with session.run(). This means that TF 2.0 code runs line by line, and so tf.control_dependancies() is no longer needed.

The session.run() call in TF 1.x is very similar to a simple function. The user specifies the inputs and the function to be called, and it returns a set of outputs. This code flow is completely...

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