Overview
- Covers the transition from TensorFlow 1.0 to TensorFlow 2.0
- Covers advanced techniques such as GANs and transfer learning
- Covers deployment of TensorFlow 2.0 based machine learning and deep learning models to production
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Table of contents (6 chapters)
Keywords
About this book
The book begins with introducing TensorFlow 2.0 framework and the major changes from its last release. Next, it focuses on building Supervised Machine Learning models using TensorFlow 2.0. It also demonstrates how to build models using customer estimators. Further, it explains how to use TensorFlow 2.0 API to build machine learning and deep learning models for image classification using the standard as well as custom parameters.
You'll review sequence predictions, saving, serving, deploying, and standardized datasets, and then deploy these models to production. All the code presented in the book will be available in the form of executable scripts at Github which allows you to try out the examples and extend them in interesting ways.
What You'll Learn
- Review the new features of TensorFlow 2.0
- Use TensorFlow 2.0 to build machine learning and deep learning models
- Perform sequence predictions using TensorFlow 2.0
- Deploy TensorFlow 2.0 models with practical examples
Who This Book Is For
Data scientists, machine and deep learning engineers.
Authors and Affiliations
About the authors
Avinash Manure is a Senior Data Scientist at Publicis Sapient with over 8 years of experience in solving real-world business challenges using Data. He is proficient in deploying complex machine learning and statistical modeling algorithms/techniques for identifying patterns and extracting valuable insights for key stakeholders and organizational leadership. Avinash holds a bachelor’s degree in Electronics Engineering from Mumbai University and has done his Master’s in Business Administration (Marketing) from University of Pune. He is currently settled in Bangalore with his wife. He enjoys travelling to new places and reading motivational books.
Bibliographic Information
Book Title: Learn TensorFlow 2.0
Book Subtitle: Implement Machine Learning and Deep Learning Models with Python
Authors: Pramod Singh, Avinash Manure
DOI: https://doi.org/10.1007/978-1-4842-5558-2
Publisher: Apress Berkeley, CA
eBook Packages: Professional and Applied Computing, Apress Access Books, Professional and Applied Computing (R0)
Copyright Information: Pramod Singh, Avinash Manure 2020
Softcover ISBN: 978-1-4842-5560-5Published: 05 January 2020
eBook ISBN: 978-1-4842-5558-2Published: 17 December 2019
Edition Number: 1
Number of Pages: XVI, 164
Number of Illustrations: 126 b/w illustrations
Topics: Artificial Intelligence, Python, Open Source