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Array Languages Make Neural Networks Fast
[article]
2019
arXiv
pre-print
Modern machine learning frameworks are complex: they are typically organised in multiple layers each of which is written in a different language and they depend on a number of external libraries, but at their core they mainly consist of tensor operations. As array-oriented languages provide perfect abstractions to implement tensor operations, we consider a minimalistic machine learning framework that is shallowly embedded in an array-oriented language and we study its productivity and
arXiv:1912.05234v1
fatcat:mb7pjcrg2jbxxiduto4jrv2nca