Java deep learning essentials : dive into the future of data science and learn how to build the sophisticated algorithms that are fundamental to deep learning and AI with Java [E-Book] / Yusuke Sugomori.
Sugomori, Yusuke, (author)
1st edition
[Birmingham] : Packt Publishing, 2016
254 pages (online resource)
englisch
9781785282195
9781785283147
Community Experience Distilled
Full Text
Table of Contents:
  • Java deep learning essentials : dive into the future of data science and learn how to build the sophisticated algorithms that are fundamental to deep learning and AI with Java
  • About the Author
  • About the Reviewers
  • Table of Contents
  • Preface
  • Chapter 1: Deep Learning Overview
  • Chapter 2: Algorithms for Machine Learning - Preparing for Deep Learning
  • Chapter 3: Deep Belief Nets and Stacked Denoising Autoencoders
  • Chapter 4: Dropout and Convolutional Neural Networks
  • Chapter 5: Exploring Java Deep Learning Libraries - DL4J, ND4J, and More
  • Chapter 6: Approaches to Practical Applications - Recurrent Neural Networks and More
  • Chapter 7: Other Important Deep Learning Libraries
  • Chapter 8: What's Next?
  • Index.