Ideas like GANs stand tall not because hundreds of researchers build on top of the same spaghetti code, but because they've successfully re-implemented the underlying idea for transfer learning, art, and countless other purposes.
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Interestingly analogous to one of the principles of Model-Driven (IT) Architecture: "Raise the level of abstraction", back at the turn of the century. Intended to make designs usable across implementations and easier to understand. http://www.methodsandtools.com/archive/archive.php?id=5 …
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(Probably too detailed to read it all now but I was amused by the idea that there's a level of abstraction where the ideas converge
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I'll check this out! Thanks!
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LMK if you are interested in it, I could probably save some time for you by finding something less cluttered with then-current technology. Unfortunately I no longer have access to my teaching material.
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Is it really that confusing? Hahah
End of conversation
New conversation -
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More here in this journal article: Cooper, R. P. & Guest, O. (2014). Implementations are not specifications: specification, replication and experimentation in computational cognitive modeling. http://dx.doi.org/10.1016/j.cogsys.2013.05.001 …
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