Deep Learning Made Easy with R: A Gentle Introduction For Data Science
By N.D Lewis
With the explosion of big data deep learning is now on the radar. I have noticed big companies like Google, Microsoft, and Facebook, and they are actively growing in deep learning teams. Other large companies are building their own teams quickly. If you want to join the ranks of today's best data scientists take advantage of this valuable book. I'll help you get started. It reveals how deep learning models work, and takes you down the lid with an easy-to-follow process that shows you how to build them faster than you can imagine using our free powerful predictive analytics package.
- Author
- N.D Lewis
- Language
- English
- Size
- 5.79 Mb
- Pages
- 251
- Format
- Year
- 2016
- Edition
- 1
About This Book
With the explosion of big data deep learning is now on the radar. I have noticed big companies like Google, Microsoft, and Facebook, and they are actively growing in deep learning teams. Other large companies are building their own teams quickly. If you want to join the ranks of today’s best data scientists take advantage of this valuable book. I’ll help you get started. It reveals how deep learning models work, and takes you down the lid with an easy-to-follow process that shows you how to build them faster than you can imagine using our free powerful predictive analytics package.
Contents
- Chapter 1: Introduction
- Chapter 2: Deep Neural Networks
- Chapter 3: Elman Neural Networks
- Chapter 4: Jordan Neural Networks
- Chapter 5: The Secret to the Autoencoder
- Chapter 6: The Stacked Autoencoder in a Nutshell
- Chapter 7: Restricted Boltzmann Machines
- Chapter 8: Deep Belief Networks