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https://github.com/PacktPublishing/R-Deep-Learning-Cookbook
R Deep Learning Cookbook, published by Packt
https://github.com/PacktPublishing/R-Deep-Learning-Cookbook
Last synced: 3 months ago
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R Deep Learning Cookbook, published by Packt
- Host: GitHub
- URL: https://github.com/PacktPublishing/R-Deep-Learning-Cookbook
- Owner: PacktPublishing
- License: mit
- Created: 2017-08-04T10:12:40.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2023-01-30T08:08:23.000Z (about 2 years ago)
- Last Synced: 2024-08-03T06:03:41.325Z (7 months ago)
- Language: R
- Homepage:
- Size: 90.8 KB
- Stars: 30
- Watchers: 5
- Forks: 34
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# R Deep Learning Cookbook
This is the code repository for [R Deep Learning Cookbook](https://www.packtpub.com/big-data-and-business-intelligence/r-deep-learning-cookbook?utm_source=github&utm_medium=repository&utm_campaign=9781787121089), published by [Packt](https://www.packtpub.com/?utm_source=github). 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](https://www.packtpub.com/big-data-and-business-intelligence/r-deep-learning-essentials?utm_source=github&utm_medium=repository&utm_campaign=9781785280580)
* [Deep Learning: Practical Neural Networks with Java](https://www.packtpub.com/big-data-and-business-intelligence/deep-learning-practical-neural-networks-java?utm_source=github&utm_medium=repository&utm_campaign=9781788470315)
* [Machine Learning with R Cookbook](https://www.packtpub.com/big-data-and-business-intelligence/machine-learning-r-cookbook?utm_source=github&utm_medium=repository&utm_campaign=9781783982042)
### Download a free PDF
If you have already purchased a print or Kindle version of this book, you can get a DRM-free PDF version at no cost.
Simply click on the link to claim your free PDF.