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The only thing Keras took from Torch7 is the name of the Sequential class. Checking out early Keras versions demonstrates they have virtually nothing in common. The promo line "in the spirit of Torch" was only meant as "it's simple/minimalist". Sklearn was a far bigger influence.
From Sklearn, I borrowed "fit", but more generally best practices around usability. There were also many innovations from day one (RNN layers...) and that we added later (callbacks, functional API).
I’d rather everyone borrow and keep naming consistent where possible. :)
And no one mentions the eager-first autograd from cuv/cuvnet from ~2011 in c++ and python by me and @temporaer :( not that I'm surprised lol we didn't advertise and at least the versions I worked on weren't that great.
(clearly predated by lush but we had GPU support ;)
When you say you ‚borrowed‘... when are you planing to give it back?! 
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