# Deep learning in Julia

**URL:** <https://discourse.julialang.org/t/deep-learning-in-julia/112844>\
**Category:** Machine Learning\
**Created:** [April 11, 2024, 7:53pm UTC](https://discourse.julialang.org/t/deep-learning-in-julia/112844 "2024-04-11T19:53:30Z")\
**Posts on this page:** 1\
**Showing post:** 3

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**Author:** ![cpfiffer](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/cpfiffer/32/208747_2.png) [@cpfiffer](https://discourse.julialang.org/u/cpfiffer)\
**Post date:** [April 11, 2024, 8:12pm UTC](https://discourse.julialang.org/t/deep-learning-in-julia/112844/3 "2024-04-11T20:12:54Z")

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Also related to ML more broadly:

> [@State of machine learning in Julia](https://discourse.julialang.org/t/state-of-machine-learning-in-julia/74385):
>
> After the [Twitter space Q&A](https://twitter.com/i/spaces/1OwxWzDNopDJQ/peek) @logankilpatrick hosted yesterday on “The future of machine learning and why it looks a lot like Julia,” I thought it would be useful to accumulate some community responses to a few questions about the current state of machine learning in Julia: Where does ML in Julia really shine today? Where do you see the ecosystem outperforming other popular ML frameworks (e.g. PyTorch, Flax, etc) in the near future, and why? Where is Julia’s ML ecosystem currently inferior in f…

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