Get our latest staff recommendations, classroom reading guides and discover assets for your stores and social media channels. Receive the Children’s Bookseller newsletter to your inbox when you sign up, plus more from Simon & Schuster.If you are an independent bookseller in the U.S. and would like to be added to our independent bookseller newsletter, please email indies@simonandschuster.com
Machine Learning with TensorFlow
Published by Manning
Distributed by Simon & Schuster
Table of Contents
About The Book
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
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
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
- A machine-learning odyssey
- TensorFlow essentials
- Linear regression and beyond
- A gentle introduction to classification
- Automatically clustering data
- Hidden Markov models
- A peek into autoencoders
- Reinforcement learning
- Convolutional neural networks
- Recurrent neural networks
- Sequence-to-sequence models for chatbots
- Utility landscape
PART 1 - YOUR MACHINE-LEARNING RIG
PART 2 - CORE LEARNING ALGORITHMS
PART 3 - THE NEURAL NETWORK PARADIGM
Product Details
- Publisher: Manning (February 12, 2018)
- Length: 272 pages
- ISBN13: 9781617293870
Browse Related Books
Resources and Downloads
High Resolution Images
- Book Cover Image (jpg): Machine Learning with TensorFlow 1st Edition Trade Paperback 9781617293870