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## v0.12.9
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* Fixed incorrect output and added GPU compatibility for [ AlphaDropout] ( https://github.com/FluxML/Flux.jl/pull/1781 ) .
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* Add trilinear [ Upsample layer] ( https://github.com/FluxML/Flux.jl/pull/1792 ) .
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+ * Improved [ performance of RNNs] ( https://github.com/FluxML/Flux.jl/pull/1761 )
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+ * Optimisers now accept an ` ϵ ` argument
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+ * [ Improved handling of complex values inputs] ( https://github.com/FluxML/Flux.jl/pull/1776 ) while training
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+ * Fixed [ AlphaDropout] ( https://github.com/FluxML/Flux.jl/pull/1781 )
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## v0.12.8
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* Optimized inference and gradient calculation of OneHotMatrix[ pr] ( https://github.com/FluxML/Flux.jl/pull/1756 )
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name = " Flux"
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uuid = " 587475ba-b771-5e3f-ad9e-33799f191a9c"
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- version = " 0.12.8 "
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+ version = " 0.12.9 "
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[deps ]
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AbstractTrees = " 1520ce14-60c1-5f80-bbc7-55ef81b5835c"
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