Very interesting introductory piece for the newcomer to using deep learning in a professional setting. Not quite for the novice, but if you have data manipulation, problem solving and coding experience with other systems, this could be very useful.
I also always like best practice suggestions for incorporation in the enterprise. Lots of time and effort to be saved and correctness to be achieved. Having used neural networks in the 90s, then abandoned them, it is always remarkable to me how they have been re-born for great value.
Best Practices for Applying Deep Learning to Novel Applications
Leslie N. Smith, US Naval Research Laboratory, April 5, 2017
.... This report is targeted to groups who are subject matter experts in their application but deep learning novices. It contains practical advice for those interested in testing the use of deep neural networks on applications that are novel for deep learning. We suggest making your project more manageable by dividing it into phases. For each phase this report contains numerous recommendations and insights to assist novice practitioners. ....
Subjects: Software Engineering (cs.SE); Artificial Intelligence (cs.AI); Neural and Evolutionary Computing (cs.NE)
Report number: NRL Technical Note 5510-052
Cite as: arXiv:1704.01568 [cs.SE]
(or arXiv:1704.01568v1 [cs.SE] for this version)
Full Report as a PDF
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