1.3 KiB
1.3 KiB
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, without sacrificing speed.
Flux has a few key differences from other libraries:
- Flux's graph-based DSL, which provides optimisations and automatic differentiation (à la Theano), is very tightly integrated with the language. This means nice syntax for your equations (
σ(W*x+b)anyone?) and no unwieldycompilesteps. - The graph DSL directly represents models, as opposed to computations, so custom architectures – and in particular, recurrent models – are easy to express.
- Those fancy features are completely optional. You can implement arbitrary functionality in a Torch-like fashion if you wish, since layers are simply objects that satisfy a small interface (à la Torch).
- 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. This also makes the library itself very easy to understand and extend.