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Flux.jl
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Mike Innes 2018-04-14 02:15:44 +01:00
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@ -38,7 +38,7 @@ b = param(randn(2))
y(x) = σ.(W * x .+ b) y(x) = σ.(W * x .+ b)
``` ```
If that's *still* not enough, you can go as deep as you want, even writing your own CUDA kernels! All this can be freely mixed-and-matched in a single model or script, and it all runs interactively via Jupyter or Juno. If that's *still* not enough, you can go as deep as you want, even writing your own CUDA kernels with [CUDAnative](https://github.com/JuliaGPU/CUDAnative.jl)! All this can be freely mixed-and-matched in a single model or script, and it all runs interactively via Jupyter or Juno.
```julia ```julia
function gpu_add(a, b, c) function gpu_add(a, b, c)