The relevance of speed here is that you don't have to realy on a second language such as C++, which profoundly affects how you can create a machine learning library.

The higher performance of Julia allows Flux to work in a very different fashion from TensorFlow.

TensorFlow is based on organizing a graph of nodes made in C++. With Flux you simply write plain code. The code IS your graph.

I know that sounds a bit weird, so here is a more detailed explanation: https://medium.com/@Jernfrost/flux-vs-tensorflow-misconceptions-2737a8b464fb

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Geek dad, living in Oslo, Norway with passion for UX, Julia programming, science, teaching, reading and writing.

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