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TensorFlow Machine Learning Cookbook

You're reading from   TensorFlow Machine Learning Cookbook Over 60 practical recipes to help you master Google's TensorFlow machine learning library

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Product type Paperback
Published in Feb 2017
Publisher Packt
ISBN-13 9781786462169
Length 370 pages
Edition 1st Edition
Languages
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Author (1):
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Nick McClure Nick McClure
Author Profile Icon Nick McClure
Nick McClure
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Toc

Table of Contents (13) Chapters Close

Preface 1. Getting Started with TensorFlow FREE CHAPTER 2. The TensorFlow Way 3. Linear Regression 4. Support Vector Machines 5. Nearest Neighbor Methods 6. Neural Networks 7. Natural Language Processing 8. Convolutional Neural Networks 9. Recurrent Neural Networks 10. Taking TensorFlow to Production 11. More with TensorFlow Index

Index

A

  • activation functions
    • implementing / Getting ready, How to do it…, How it works…, There's more…
    • used, for implementing gates / Working with Gates and Activation Functions, How to do it…, How it works…, There's more…
    • sigmoid / Getting ready
    • rectified linear unit (ReLU) / Getting ready
  • address matching example
    • using / Using an Address Matching Example, How to do it…, How it works…
  • advanced CNN
    • implementing / Implementing an Advanced CNN, Getting ready, How to do it…, How it works…
  • Amazon Web Services (AWS)
    • about / There's more…
  • Amherst statistical dataset repository
    • URL / Getting ready
  • Anaconda package
    • URL / Getting ready
  • Arxiv.org
    • about / There's more…
  • AWS machine images (AMIs)
    • about / There's more…

B

  • back propagation
    • implementing / Implementing Back Propagation, Getting...
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