# Best practice to combine Flux.jl and Convex.jl

**URL:** <https://discourse.julialang.org/t/best-practice-to-combine-flux-jl-and-convex-jl/57128>\
**Category:** General Usage\
**Tags:** optimization, machine-learning\
**Created:** [March 14, 2021, 1:43pm UTC](https://discourse.julialang.org/t/best-practice-to-combine-flux-jl-and-convex-jl/57128 "2021-03-14T13:43:56Z")\
**Posts on this page:** 1\
**Showing post:** 3

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**Author:** ![iHany](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/ihany/32/18151_2.png) [@iHany](https://discourse.julialang.org/u/iHany)\
**Post date:** [March 14, 2021, 2:18pm UTC](https://discourse.julialang.org/t/best-practice-to-combine-flux-jl-and-convex-jl/57128/3 "2021-03-14T14:18:38Z")

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OMG, it sounds like it would be impossible for me…  
Bad news. Thanks.

Do you think it’s possible to differentiate Convex.jl problems by expanding some methods?

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