TensorFlow Books



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Deep Learning Pipeline

Deep Learning Pipeline

by Hisham El-Amir, Mahmoud Hamdy

Build your own pipeline based on modern TensorFlow approaches rather than outdated engineering concepts. This book shows you how to build a deep learning pipeline for real-life TensorFlow projects. You'll learn what a pipeline is and how it works so you can build a full application easily and rapidly. Then troubleshoot and overcome basic Tensorflow obstacles to easily create functional apps and deploy well-...

Price:  $30.46  |  Publisher:  Apress  |  Release:  2020

Learn TensorFlow 2.0

Learn TensorFlow 2.0

by Pramod Singh, Avinash Manure

Learn how to use TensorFlow 2.0 to build machine learning and deep learning models with complete examples.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 ...

Price:  $26.06  |  Publisher:  Apress  |  Release:  2020

Deep Learning with JavaScript

Deep Learning with JavaScript

by Shanqing Cai, Stanley Bileschi, Eric D. Nielsen, Francois Chollet

Deep learning has transformed the fields of computer vision, image processing, and natural language applications. Thanks to TensorFlow.js, now JavaScript developers can build deep learning apps without relying on Python or R. Deep Learning with JavaScript shows developers how they can bring DL technology to the web. Written by the main authors of the TensorFlow library, this new book provides fascinating us...

Price:  $49.99  |  Publisher:  Manning  |  Release:  2020

Advanced Deep Learning with TensorFlow 2 and Keras, 2nd Edition

Advanced Deep Learning with TensorFlow 2 and Keras, 2nd Edition

by Rowel Atienza

Advanced Deep Learning with TensorFlow 2 and Keras, Second Edition is a completely updated edition of the bestselling guide to the advanced deep learning techniques available today. Revised for TensorFlow 2.x, this edition introduces you to the practical side of deep learning with new chapters on unsupervised learning using mutual information, object detection (SSD), and semantic segmentation (FCN and PSPNe...

Price:  $39.99  |  Publisher:  Packt Publishing  |  Release:  2020

Mastering Machine Learning Algorithms, 2nd Edition

Mastering Machine Learning Algorithms, 2nd Edition

by Giuseppe Bonaccorso

Mastering Machine Learning Algorithms, 2nd Edition helps you harness the real power of machine learning algorithms in order to implement smarter ways of meeting today's overwhelming data needs. This newly updated and revised guide will help you master algorithms used widely in semi-supervised learning, reinforcement learning, supervised learning, and unsupervised learning domains.You will use all the modern...

Price:  $40.49  |  Publisher:  Packt Publishing  |  Release:  2020

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition

by Aurelien Geron

Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how.By using concrete examples, minimal theory, and two production-ready Python frameworks - Scikit-Learn and TensorFlo...

Price:  $41.99  |  Publisher:  O'Reilly Media  |  Release:  2019

TinyML

TinyML

by Pete Warden, Daniel Situnayake

Deep learning networks are getting smaller. Much smaller. The Google Assistant team can detect words with a model just 14 kilobytes in size - small enough to run on a microcontroller. With this practical book you'll enter the field of TinyML, where deep learning and embedded systems combine to make astounding things possible with tiny devices.Pete Warden and Daniel Situnayake explain how you can train model...

Price:  $24.99  |  Publisher:  O'Reilly Media  |  Release:  2019

Python Machine Learning, 3rd Edition

Python Machine Learning, 3rd Edition

by Sebastian Raschka, Vahid Mirjalili

Python Machine Learning, Third Edition is a comprehensive guide to machine learning and deep learning with Python. It acts as both a step-by-step tutorial, and a reference you'll keep coming back to as you build your machine learning systems.Packed with clear explanations, visualizations, and working examples, the book covers all the essential machine learning techniques in depth. While some books teach you...

Price:  $35.99  |  Publisher:  Packt Publishing  |  Release:  2019

Machine Learning Using R, 2nd Edition

Machine Learning Using R, 2nd Edition

by Karthik Ramasubramanian, Abhishek Singh

Examine the latest technological advancements in building a scalable machine-learning model with big data using R. This second edition shows you how to work with a machine-learning algorithm and use it to build a ML model from raw data. You will see how to use R programming with TensorFlow, thus avoiding the effort of learning Python if you are only comfortable with R.As in the first edition, the authors ha...

Price:  $31.74  |  Publisher:  Apress  |  Release:  2019

Natural Language Processing in Action

Natural Language Processing in Action

by Hobson Lane, Cole Howard, Hannes Hapke

Natural Language Processing in Action is your guide to creating machines that understand human language using the power of Python with its ecosystem of packages dedicated to NLP and AI.Recent advances in deep learning empower applications to understand text and speech with extreme accuracy. The result? Chatbots that can imitate real people, meaningful resume-to-job matches, superb predictive search, and aut...

Price:  $39.99  |  Publisher:  Manning  |  Release:  2019

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