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After quite a long search, I have identified several products that can be used to ease the lift required to deploy deep learning models into production. Since our end application is not clear (though we have several ideas), the best approach to productionizing this model is to deploy it as a REST service that can be maintained separately from the data science lifecycle process that produces each model, and is simple enough for each data scientist to use.
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