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Mastering TensorFlow 1.x

You're reading from   Mastering TensorFlow 1.x Advanced machine learning and deep learning concepts using TensorFlow 1.x and Keras

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Product type Paperback
Published in Jan 2018
Publisher Packt
ISBN-13 9781788292061
Length 474 pages
Edition 1st Edition
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Toc

Table of Contents (21) Chapters Close

Preface 1. TensorFlow 101 2. High-Level Libraries for TensorFlow FREE CHAPTER 3. Keras 101 4. Classical Machine Learning with TensorFlow 5. Neural Networks and MLP with TensorFlow and Keras 6. RNN with TensorFlow and Keras 7. RNN for Time Series Data with TensorFlow and Keras 8. RNN for Text Data with TensorFlow and Keras 9. CNN with TensorFlow and Keras 10. Autoencoder with TensorFlow and Keras 11. TensorFlow Models in Production with TF Serving 12. Transfer Learning and Pre-Trained Models 13. Deep Reinforcement Learning 14. Generative Adversarial Networks 15. Distributed Models with TensorFlow Clusters 16. TensorFlow Models on Mobile and Embedded Platforms 17. TensorFlow and Keras in R 18. Debugging TensorFlow Models 19. Tensor Processing Units
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Preface

Google’s TensorFlow has become a major player and a go-to tool for developers to bring smart processing within an application. TensorFlow has become a major research and engineering tool in every organization. Thus, there is a need to learn advanced use cases of TensorFlow that can be implemented in all kinds of software and devices to build intelligent systems. TensorFlow is one of its kind, with lots of new updates and bug fixes to bring smart automation into your projects. So in today’s world, it becomes a necessity to master TensorFlow in order to create advanced machine learning and deep learning applications. Mastering TensorFlow will help you learn all the advanced features TensorFlow has to offer. This book funnels down the key information to provide the required expertise to the readers to enter the world of artificial intelligence, thus extending the knowledge of intermediate TensorFlow users to the next level. From implementing advanced computations to trending real-world research areas, this book covers it all. Get to the grips with this highly comprehensive guide to make yourself well established in the developer community, and you'll have a platform to contribute to research works or projects.

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