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In general I expect ~90-95% of use cases to be covered by the Functional API. The Model subclassing API targets deep learning researchers specifically (about 5% of use cases).
I think it's great that we don't silo researchers and everyone else into completely separate frameworks. It's all one API, that enables a spectrum of workflows, from really easy (Sequential) to advanced (Functional) to fully flexible and hackable (Model subclassing)
100% percent. And to be clear, researchers doing work in fields other than ML *itself* should start w/ the Sequential or Functional APIs - so you can focus on your problem - and reduce the error surface & complexity of your infrastructure.
@threader_app compile t
Hi, you can read this thread from @fchollet here: https://threader.app/thread/1090351138287771648 …
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