Learning TensorFlow: A Guide to Building Deep Learning Systems

Tom Hope, Yehezkel S. Resheff, Itay Lieder

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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