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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.

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

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Amazon verified reviews

Chax Oct 01, 2017

good

Amazon Verified review

Mithun Patel Dec 07, 2017

Great book

Antonio Gulli May 21, 2017

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 Customer Feb 27, 2017

I am the reviewer of this book,Many examples of this book are very helpful for the beginners of TensorFlow users.

Satya Kondapalli Mar 09, 2017

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

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

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