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 ...

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