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TensorFlow Machine Learning Cookbook
TensorFlow Machine Learning Cookbook

TensorFlow Machine Learning Cookbook: Over 60 practical recipes to help you master Google's TensorFlow machine learning library

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Profile Icon Nick McClure
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$19.99 per month
Full star icon Full star icon Full star icon Half star icon Empty star icon 3.7 (18 Ratings)
Paperback Feb 2017 370 pages 1st Edition
eBook
$47.99
Paperback
$60.99
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Renews at $19.99p/m
Arrow left icon
Profile Icon Nick McClure
Arrow right icon
$19.99 per month
Full star icon Full star icon Full star icon Half star icon Empty star icon 3.7 (18 Ratings)
Paperback Feb 2017 370 pages 1st Edition
eBook
$47.99
Paperback
$60.99
Subscription
Free Trial
Renews at $19.99p/m
eBook
$47.99
Paperback
$60.99
Subscription
Free Trial
Renews at $19.99p/m

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TensorFlow Machine Learning Cookbook

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Key benefits

  • Your quick guide to implementing TensorFlow in your day-to-day machine learning activities
  • Learn advanced techniques that bring more accuracy and speed to machine learning
  • Upgrade your knowledge to the second generation of machine learning with this guide on TensorFlow

Description

TensorFlow is an open source software library for Machine Intelligence. The independent recipes in this book will teach you how to use TensorFlow for complex data computations and will let you dig deeper and gain more insights into your data than ever before. You’ll work through recipes on training models, model evaluation, sentiment analysis, regression analysis, clustering analysis, artificial neural networks, and deep learning – each using Google’s machine learning library TensorFlow. This guide starts with the fundamentals of the TensorFlow library which includes variables, matrices, and various data sources. Moving ahead, you will get hands-on experience with Linear Regression techniques with TensorFlow. The next chapters cover important high-level concepts such as neural networks, CNN, RNN, and NLP. Once you are familiar and comfortable with the TensorFlow ecosystem, the last chapter will show you how to take it to production.

Who is this book for?

This book is ideal for data scientists who are familiar with C++ or Python and perform machine learning activities on a day-to-day basis. Intermediate and advanced machine learning implementers who need a quick guide they can easily navigate will find it useful.

What you will learn

  • Become familiar with the basics of the TensorFlow machine learning library
  • Get to know Linear Regression techniques with TensorFlow
  • Learn SVMs with hands-on recipes
  • Implement neural networks and improve predictions
  • Apply NLP and sentiment analysis to your data
  • Master CNN and RNN through practical recipes
  • Take TensorFlow into production

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Feb 14, 2017
Length: 370 pages
Edition : 1st
Language : English
ISBN-13 : 9781786462169
Vendor :
Google
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Product Details

Publication date : Feb 14, 2017
Length: 370 pages
Edition : 1st
Language : English
ISBN-13 : 9781786462169
Vendor :
Google
Category :
Languages :
Tools :

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Frequently bought together


Stars icon
Total $ 170.97
Deep Learning with Keras
$54.99
Deep Learning with TensorFlow
$54.99
TensorFlow Machine Learning Cookbook
$60.99
Total $ 170.97 Stars icon

Table of Contents

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

Customer reviews

Top Reviews
Rating distribution
Full star icon Full star icon Full star icon Half star icon Empty star icon 3.7
(18 Ratings)
5 star 38.9%
4 star 22.2%
3 star 16.7%
2 star 11.1%
1 star 11.1%
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Top Reviews

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Chax Oct 01, 2017
Full star icon Full star icon Full star icon Full star icon Full star icon 5
good
Amazon Verified review Amazon
Mithun Patel Dec 07, 2017
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Great book
Amazon Verified review Amazon
Antonio Gulli May 21, 2017
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I read many books about Deep Learning, and was looking for an handson book on Tensorflow. This Cookbook is very practical and it explains how to use TF step-by-step. It starts with simple graph computations, then it extends into matrix computations, linear regression, and many additional neural network algorithms including neural networks. Definitively recommended if you want to have a swiss knife reference book
Amazon Verified review Amazon
Amazon Customer Feb 27, 2017
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I am the reviewer of this book,Many examples of this book are very helpful for the beginners of TensorFlow users.
Amazon Verified review Amazon
Satya Kondapalli Mar 09, 2017
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I have ordered and returned some books related TF and Neural Networks. Many books start very high level and lost interest. Finally I found book I am interested in. You can start coding in TF using this book. Once you built your code skills then you can buy more theoretical books and lost somewhere. Note: When framework doing all the work, why do I need to learn every math function. This is a no nonsense book for me. I love it. I have been teaching big data past 6 years. Lately I have been doing some work in spark ML and moving on to TensorFlow. Spark also supporting TensorFrames. Deep learning will soon eat machine learning.I suggest this book for any one start learning TF.Satya , ambariCloud
Amazon Verified review Amazon
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