R Deep Learning Cookbook

This is the code repository for R Deep Learning Cookbook, published by Packt. It contains all the supporting project files necessary to work through the book from start to finish.

About the Book

Deep Learning is the next big thing. It is a part of machine learning. It's favorable results in applications with huge and complex data is remarkable. Simultaneously, R programming language is very popular amongst the data miners and statisticians.

Instructions and Navigation

All of the code is organized into folders. Each folder starts with a number followed by the application name. For example, Chapter02.

The code will look like the following:

[default] exten => s,1,Dial(Zap/1|30) exten => s,2,Voicemail(u100) exten => s,102,Voicemail(b100) exten => i,1,Voicemail(s0)

A lot of inquisitiveness, perseverance, and passion is required to build a strong background in data science. The scope of deep learning is quite broad; thus, the following backgrounds is required to effectively utilize this cookbook:

• Basics of machine learning and data analysis
• Proficiency in R programming
• Basics of Python and Docker Lastly, you need to appreciate deep learning algorithms and know how they solve complex problems in multiple domains
  

Related Products

• R Deep Learning Essentials

• Deep Learning: Practical Neural Networks with Java

• Machine Learning with R Cookbook

  
  

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https://github.com/PacktPublishing/R-Deep-Learning-Cookbook