Machine Learning with TensorFlow

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
PART 2 - CORE LEARNING ALGORITHMS
3. Linear regression and beyond
4. A gentle introduction to classification
5. Automatically clustering data
6. Hidden Markov models
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

Über den Autor / die Autorin

AUTHOR BIO

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.

Zusammenfassung

DESCRIPTION
Being able to make near-real-time decisions is becoming increasingly
crucial. To succeed, we need machine learning systems that can turn
massive amounts of data into valuable insights. But when you're just
starting out in the data science field, how do you get started creating
machine learning applications? The answer is TensorFlow, a new open
source machine learning library from Google. The TensorFlow library
can take your high level designs and turn them into the low level
mathematical operations required by machine learning algorithms.

Machine Learning with TensorFlow teaches readers about machinelearning algorithms and how to implement solutions with TensorFlow.
It starts with an overview of machine learning concepts and moves on
to the essentials needed to begin using TensorFlow. Each chapter
zooms into a prominent example of machine learning. Readers can
cover them all to master the basics or skip around to cater to their
needs. By the end of this book, readers will be able to solve
classification, clustering, regression, and prediction problems in the
real world.

KEY FEATURES• Lots of diagrams, code examples, and exercises
• Solves real-world problems with TensorFlow
• Uses well-studied neural network architectures
• Presents code that can be used for the readers’ own applications
AUDIENCE
This book is for programmers who have some experience with Python and
linear algebra concepts like vectors and matrices. No experience with
machine learning is necessary.
ABOUT THE TECHNOLOGY
Google open-sourced their machine learning framework called TensorFlow
in late 2015 under the Apache 2.0 license. Before that, it was used
proprietarily by Google in its speech recognition, Search, Photos, and
Gmail, among other applications. TensorFlow is one the most popular
machine learning libraries.

Produktdetails

• Autoren: Manning_Unknown, Shukla, Nishant Shukla
• Verlag: Pearson
• Sprache: Englisch
• Produktform: Taschenbuch
• Erschienen: 30.04.2018
• EAN: 9781617293870
• ISBN: 978-1-61729-387-0
• Seiten: 272
• Abmessung: 187 mm x 244 mm x 14 mm
• Gewicht: 468 g
• Serien: Pearson; Pearson
• Thema: Naturwissenschaften, Medizin, Informatik, Technik > Informatik, EDV > Datenkommunikation, Netzwerke