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.
AI and Deep Learning are transforming the way we understand software, making computers more intelligent than we could even imagine just a decade ago. Deep Learning algorithms are being used across a broad range of industries - as the fundamental driver of AI, being able to tackle Deep Learning is go...
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Full text |
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Personal Name(s): | Sugomori, Yusuke, author |
Edition: |
1st edition |
Imprint: |
[Birmingham] :
Packt Publishing,
2016
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Physical Description: |
254 pages (online resource) |
Note: |
englisch |
ISBN: |
9781785282195 9781785283147 |
Series Title: |
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Subject (LOC): |
- 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.