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Deep Learning Illustrated: A Visual, Interactive Guide to Artificial Intelligence by Grant Beyleveld, Aglaé Bassens, Jon Krohn

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14. Moving Forward with Your Own Deep Learning Projects

Congratulations, you’ve made it to the closing chapter of the book! In Part I, we introduced deep learning: what it is and how it has become predominant. In Part II, we delved into the essential theory of deep learning. And in Part III, we applied the theory you learned to a broad range of problems spanning vision, language, art, and changing environments.

In this chapter, we provide you with resources and advice for moving onward from the examples provided in Part III to your very own deep learning projects, some of which could be of tremendous benefit to society. We cap everything off by providing context on how your work may contribute to deep learning’s ongoing overhaul of software ...

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