I know that Keras is developed for quick deployment. Is it just for beginners or also useful in industry for professionals?


Keras is used in academia (see google scholar citations of Keras as a proxy for academy adoption) and hobbyists (see github stars or google results for keras in www.kaggle.com as proxies for hobbyist adoption).

It was recently bundled together with Google's tensorflow.

It is also used in industry, at least for prototyping (I know because I use it!), but I have found no source to back this statement.

  • $\begingroup$ Prototyping is a very important task in industry, and you need tools to quickly build this prototypes. You may not use it to implement the final product, but it is still useful nevertheless. $\endgroup$
    – Pablo Suau
    Jan 27 '17 at 8:53
  • $\begingroup$ What happens after prototyping is done? How is a prototype productionized? $\endgroup$ Nov 10 '18 at 16:54

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