deployment: which workflow works best for Deep Learning?

[erinpho]

I have a question about Deep Learning that may be useful for other people working with it too.

I am particularly interested in deployment and cost control. I would like to compare approaches that people have actually used rather than just theoretical suggestions.

Are there any settings, tools, or workflow changes that made a noticeable difference?



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