I think the notion that there's a "deep learning framework war raging" is pretty mistaken. It's not like there are different clans that don't talk to each other. The majority of people use multiple tools, often within the same project.
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Choice is good. But I really don’t agree that using multiple DL frameworks for the same project is either popular or a good idea. Software engineers try very hard to avoid using multiple languages at once because of the huge inefficiency it causes. Those same lessons apply to ML.
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