Author: Nick McClure
Pub Date: 2017
ISBN: 978-1-78646-216-9
Pages: 401
Language: English
Format: EPUB/MOBI/PDF (conv)
Size: 11 Mb

Explore machine learning concepts using the latest numerical computing library — TensorFlow — with the help of this comprehensive cookbook
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

Table of Contents

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