Because deep learning is booming, the field lacks best practices; practitioners tend to be new. Combined with hype, this is a bad situation
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Would it be better to start with best practices through libraries ex. Keras / Tensorflow i.e. code or are there best practices before code?
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Also, could link back to Arxiv as a reference to why something is a best practice. Having a list/agg is extremely useful esp for newer folks
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