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Java Deep Learning Essentials

You're reading from   Java Deep Learning Essentials Unlocking the next generation of predictive power

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Product type Paperback
Published in May 2016
Publisher Packt
ISBN-13 9781785282195
Length 254 pages
Edition 1st Edition
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Author (1):
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Yusuke Sugomori Yusuke Sugomori
Author Profile Icon Yusuke Sugomori
Yusuke Sugomori
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Chapter 5. Exploring Java Deep Learning Libraries – DL4J, ND4J, and More

In the previous chapters, you learned the core theories of deep learning algorithms and implemented them from scratch. While we can now say that implementations of deep learning are not so difficult, we can't deny the fact that it still takes some time to implement models. To mitigate this situation, you'll learn how to write code with the Java library of deep learning in this chapter so that we can focus more on the critical part of data analysis rather than the trivial part.

The topics you'll learn about in this chapter are:

  • An introduction to the deep learning library of Java
  • Example code and how to write your own code with the library
  • Some additional ways to optimize the model to get a higher precision rate
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