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TensorFlow Machine Learning Cookbook

Release: TensorFlow.Machine.Learning.Cookbook

  • Sprache: Englisch
  • Format: rar
  • Hits: 35
  • Größe: 14 MB
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Beschreibung

TensorFlow Machine Learning Cookbook by Nick McClure
English | 14 Feb. 2017 | ISBN: 1786462168 | 370 Pages | EPUB/PDF (conv) | 9.27 MB
Key Features

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

Book 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.

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

About the Author

Nick McClure is currently a senior data scientist at PayScale, Inc. in Seattle, WA. Prior to this, he has worked at Zillow and Caesar's Entertainment. He got his degrees in Applied Mathematics from The University of Montana and the College of Saint Benedict and Saint John's University.

He has a passion for learning and advocating for analytics, machine learning, and artificial intelligence. Nick occasionally puts his thoughts and musings on his blog, http://fromdata.org/]http://fromdata.org/[/url], or through his Twitter account, @nfmcclure.

Table of Contents

Getting Started with TensorFlow
The TensorFlow Way
Linear Regression
Support Vector Machines
Nearest Neighbor Methods
Neural Networks
Natural Language Processing
Convolutional Neural Networks
Recurrent Neural Networks
Taking TensorFlow to Production
More with TensorFlow
Sach und Fachbuecher English

TensorFlow Machine Learning Cookbook

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