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Zaccone G. - Getting Started with TensorFlow [2016, PDF/EPUB/MOBI, ENG]

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Zaccone G. - Getting Started with TensorFlow [2016, PDF/EPUB/MOBI, ENG] (Size: 15.53 MB)
  Zaccone G. - Getting Started with TensorFlow - 2016.epub 4.2 MB
  Zaccone G. - Getting Started with TensorFlow - 2016.mobi 6.59 MB
  Zaccone G. - Getting Started with TensorFlow - 2016.pdf 4.74 MB

Description


Книги и журналы » Компьютерная литература » Программирование (книги)

Getting Started with TensorFlow

Год издания: 2016
Автор: Zaccone G.

Издательство: Packt Publishing
ISBN: 9781786468574
Язык: Английский

Формат: PDF/EPUB/MOBI
Качество: Издательский макет или текст (eBook)
Интерактивное оглавление: Да
Количество страниц: 180

Описание: 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
[spoiler="Примеры страниц"]

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[spoiler="Оглавление"]
Table of Contents

1: TensorFlow – Basic Concepts
2: Doing Math with TensorFlow
3: Starting with Machine Learning
4: Introducing Neural Networks
5: Deep Learning
6: GPU Programming and Serving with TensorFlow
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Доп. информация: Исходный код:
https://github.com/PacktPublishing/Getting-Started-with-TensorFlow

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