Getting Started with TensorFlow (Paperback)

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Getting Started with TensorFlow (Paperback)

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內容描述

Key Features

Get the first book on the market that shows you the key aspects TensorFlow, how it works, and how to use it for the second generation of machine learning
Want to perform faster and more accurate computations in the field of data science? This book will acquaint you with an all-new refreshing library-TensorFlow!
Dive into the next generation of numerical computing and get the most out of your data with this quick guide

Book Description
Google's TensorFlow engine, after much fanfare, has evolved in to a robust, user-friendly, and customizable, application-grade software library of machine learning (ML) code for numerical computation and neural networks.
This book takes you through the practical software implementation of various machine learning techniques with TensorFlow. In the first few chapters, you'll gain familiarity with the framework and perform the mathematical operations required for data analysis. As you progress further, you'll learn to implement various machine learning techniques such as classification, clustering, neural networks, and deep learning through practical examples.
By the end of this book, you'll have gained hands-on experience of using TensorFlow and building classification, image recognition systems, language processing, and information retrieving systems for your application.
What you will learn

Install and adopt TensorFlow in your Python environment to solve mathematical problems
Get to know the basic machine and deep learning concepts
Train and test neural networks to fit your data model
Make predictions using regression algorithms
Analyze your data with a clustering procedure
Develop algorithms for clustering and data classification
Use GPU computing to analyze big data