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Nice collection.. What I am looking for in addition to these are an explanation of different deep network topologis and how to construct new solutions utilizing ever more complex structures.

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Along these same lines, every time I see a new topology I wonder how much of it was inspiration and how much was trial-by-error.

On twitter [1] I saw mention of GDGS: Gradient Descent by Grad Student :)

[1]: https://twitter.com/hardmaru/status/876303574900264960

There was a good link in the feed, but there seem to be fairly little theory for a general approach to solving these more advanced architectures:

https://research.googleblog.com/2017/05/using-machine-learni...

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