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Главная » Статьи » BOOKS » Programming

Introduction to Deep Learning Using R: A Step-by-Step Guide to Learning and Implementing Deep Learning Models Using R

Название: Introduction to Deep Learning Using R: A Step-by-Step Guide to Learning and Implementing Deep Learning Models Using R
Автор: Taweh Beysolow II
Издательство: Apress
Год: 2017
Страниц: 227
Формат: PDF
Размер: 7,4 Mb
Язык: English

Understand deep learning, the nuances of its different models, and where these models can be applied.

The abundance of data and demand for superior products/services have driven the development of advanced computer science techniques, among them image and speech recognition. Introduction to Deep Learning Using R provides a theoretical and practical understanding of the models that perform these tasks by building upon the fundamentals of data science through machine learning and deep learning. This step-by-step guide will help you understand the disciplines so that you can apply the methodology in a variety of contexts. All examples are taught in the R statistical language, allowing students and professionals to implement these techniques using open source tools.

 

 

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Категория: Programming  (23 Июл 17)
Теги: open source tools, Deep Learning Using R, data science, computer science techniques
Всего комментариев: 0


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