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Flux.jl/README.md
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Flux

Flux is an experimental machine perception / ANN library for Julia. It's most similar in philosophy to the excellent Keras. Like that and other high-level ANN libraries, Flux is designed to make experimenting with novel layer types and architectures really fast.

Flux has a few key differences from other libraries:

  • Flux's graph-based DSL, which provides optimisations and automatic differentiation (in the spirit of Theano), is very tightly integrated with the language. This means nice syntax for your equations (σ(W*x+b) anyone?) and no unwieldy compile steps.
  • The graph DSL directly represents models, as opposed to computations, so custom architectures – and in particular, recurrent architectures – are expressed very naturally.
  • Flux is written in Julia, which means there's no "dropping down" to C – it's Julia all the way down, and you can prototype both high-level architectures and high-performance GPU kernels from the same language.