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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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The approaches to maximizing deep learning possibilities and abilities


There are several approaches to how we can apply deep learning to various industries. While it is true that an approach could be different depending on the task or purpose, we can briefly categorize the approaches in the following three ways:

  • Field-oriented approach: This utilizes deep learning algorithms or models that are already thoroughly researched and can lead to great performance

  • Breakdown-oriented approach: This replaces the problems to be solved that deep learning can apparently be applied to with a different problem where deep learning can be well adopted

  • Output-oriented approach: This explores new ways of how we express the output with deep learning

These approaches are all explained in detail in the following subsections. Each approach is divided into its suitable industries or areas where it is not suitable, but any of them could be a big hint for your activities going forward. There are still very few use...

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