[下载]Introduction to Deep Learning Using R

Introduction to Deep Learning Using R

出版日期:2017.08

官网链接:Apress代码

下载地址:天翼云盘

内容简介:

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.

您将学习到:

  • Understand the intuition and mathematics that power deep learning models
  • Utilize various algorithms using the R programming language and its packages
  • Use best practices for experimental design and variable selection
  • Practice the methodology to approach and effectively solve problems as a data scientist
  • Evaluate the effectiveness of algorithmic solutions and enhance their predictive power

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