Machine Learning with TensorFlow

Book Description

Summary

Machine Learning with TensorFlow gives readers a solid foundation in machine-learning concepts plus hands-on experience coding TensorFlow with .

Purchase of the print book includes a free eBook in PDF, Kindle, and formats from Manning Publications.

About the Technology

TensorFlow, 's library for large-scale machine learning, simplifies often-complex computations by representing them as graphs and efficiently mapping parts of the graphs to machines in a cluster or to the processors of a single machine.

About the Book

Machine Learning with TensorFlow gives readers a solid foundation in machine-learning concepts plus hands-on experience coding TensorFlow with Python. You'll learn the basics by working with classic prediction, classification, and clustering algorithms. Then, you'll move on to the money chapters: exploration of deep-learning concepts like autoencoders, recurrent neural networks, and reinforcement learning. Digest this book and you will be ready to use TensorFlow for machine-learning and deep-learning applications of your own.

What's Inside

  • Matching your tasks to the right machine-learning and deep-learning approaches
  • Visualizing algorithms with TensorBoard
  • Understanding and using neural networks

About the Reader

Written for developers experienced with Python and concepts like vectors and matrices.

About the Author

Author Nishant Shukla is a vision researcher focused on applying machine-learning techniques in robotics.

Senior technical editor, Kenneth Fricklas, is a seasoned developer, author, and machine-learning practitioner.

Table of Contents

Chapter 1: A machine-learning odyssey
Chapter 2: TensorFlow essentials
Chapter 3: Linear regression and beyond
Chapter 4: A gentle introduction to classification
Chapter 5: Automatically clustering data
Chapter 6: Hidden Markov models
Chapter 7: A peek into autoencoders
Chapter 8: Reinforcement learning
Chapter 9: Convolutional neural networks
Chapter 10: Recurrent neural networks
Chapter 11: Sequence-to-sequence models for chatbots
Chapter 12: Utility landscape
Appendix A: Installation

Book Details

  • Title: Machine Learning with TensorFlow
  • Author:
  • Length: 272 pages
  • Edition: 1
  • Language: English
  • Publisher:
  • Publication Date: 2018-02-12
  • ISBN-10: 1617293873
  • ISBN-13: 9781617293870
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