Limit this search to....

Machine Learning with Tensorflow
Contributor(s): Shukla, Nishant (Author)
ISBN: 1617293873     ISBN-13: 9781617293870
Publisher: Manning Publications
OUR PRICE:   $42.74  
Product Type: Paperback - Other Formats
Published: April 2018
Qty:
Temporarily out of stock - Will ship within 2 to 5 weeks
Additional Information
BISAC Categories:
- Computers | Neural Networks
- Computers | Software Development & Engineering - General
- Computers | Programming - Algorithms
Dewey: 006.31
Physical Information: 0.5" H x 7.4" W x 9.2" (1.00 lbs) 272 pages
 
Descriptions, Reviews, Etc.
Publisher Description:
Summary

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

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

About the Technology

TensorFlow, Google'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 algebraic concepts like vectors and matrices.

About the Author

Author Nishant Shukla is a computer 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

    PART 1 - YOUR MACHINE-LEARNING RIG
  1. A machine-learning odyssey
  2. TensorFlow essentials
    3. PART 2 - CORE LEARNING ALGORITHMS
  3. Linear regression and beyond
  4. A gentle introduction to classification
  5. Automatically clustering data
  6. Hidden Markov models
    7. PART 3 - THE NEURAL NETWORK PARADIGM
  7. A peek into autoencoders
  8. Reinforcement learning
  9. Convolutional neural networks
  10. Recurrent neural networks
  11. Sequence-to-sequence models for chatbots
  12. Utility landscape

Contributor Bio(s): Shukla, Nishant: -

Nishant Shukla is a computer vision researcher at UCLA, focusing on machine learning techniques with robotics. He has been a developer for Microsoft, Facebook, and Foursquare, and a machine learning engineer for SpaceX, as well as the author of the Haskell Data Analysis Cookbook.

Shukla: -

Nishant Shukla is a computer vision researcher at UCLA, focusing on machine learning techniques with robotics. He has been a developer for Microsoft, Facebook, and Foursquare, and a machine learning engineer for SpaceX, as well as the author of the Haskell Data Analysis Cookbook.