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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 difficulties of deep learning


Deep learning has already got higher precision than humans in the image recognition field and has been applied to quite a lot of practical applications. Similarly, in the NLP field, many models have been researched. Then, how much deep learning is utilized in other fields? Surprisingly, there are still few fields where deep learning is successfully utilized. This is because deep learning is indeed innovative compared to past algorithms and definitely lets us take a big step towards materializing AI; however, it has some problems when used for practical applications.

The first problem is that there are too many model parameters in deep learning algorithms. We didn't look in detail when you learned about the theory and implementation of algorithms, but actually deep neural networks have many hyper parameters that need to be decided compared to the past neural networks or other machine learning algorithms. This means we have to go through more trial and error...

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