Learning TensorFlow
A Guide to Building Deep Learning Systems
Publisher: O'Reilly Media
Final Release Date: January 2017
Pages: 234

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TensorFlow is currently the leading open-source software for deep learning, used by a rapidly growing number of practitioners working on computer vision, Natural Language Processing (NLP), speech recognition, and general predictive analytics. This book is an end-to-end guide to TensorFlow designed for data scientists, engineers, students and researchers.

With this book you will learn how to:

  • Get up and running with TensorFlow, rapidly and painlessly
  • Build and train popular deep learning models for computer vision and NLP
  • Apply your advanced understanding of the TensorFlow framework to build and adapt models for your specific needs
  • Train models at scale, and deploy TensorFlow in a production setting
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This is one of great book to learn Tensorflow

By Kishore Karunakaran

from Coimbatore, Tamil Nadu

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  • Accurate
  • Helpful examples
  • Well-written


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    • Intermediate
    • Novice

    Comments about oreilly Learning TensorFlow:

    This book covers the low-level of the tensorflow as well as high level. But this doesn't include keras module of tensorflow. Overall I would recommend this book to anyone want to learn tensorflow

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    August 2017 (est.)