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pevnak
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adding lecture 12
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docs/make.jl

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"8: Automatic differentiation 1" => "lecture_08/lecture.md",
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"9: Automatic differentiation 2" => "lecture_09/lecture_v2.md",
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"X: Manipulating Intermediate Represenation (IR)" => "lecture_09/lecture_v1.md"
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"10: Uncertainty propagation" => "lecture_10/lecture.md"
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]),
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"Labs" => add_prefix("./lectures", [
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"1: Introduction" => "lecture_01/lab.md",
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"7: Macros" => "lecture_07/lab.md",
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"8: Automatic differentiation 1" => "lecture_08/lab.md",
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"9: Custom Rules For Differentiation" => "lecture_09/lab.md"
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"10: Uncertainty propagation" => "lecture_12/lab.md"
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]),
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"Homeworks" => add_prefix("./lectures", [
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"1: Introduction" => "lecture_01/hw.md",
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"6: Language introspection" => "lecture_06/hw.md",
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"7: Macros" => "lecture_07/hw.md",
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"8: Automatic differentiation 1" => "lecture_08/hw.md"
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"10: Uncertainty propagation" => "lecture_12/hw.md"
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]),
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"Projects" => add_prefix("./projects", [

docs/src/lectures/lecture_09/lecture_v2.md

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```julia
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gradient(CachedGrad(foo, 1.0, 1.0), 1.0, 1.0)
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gradient(CachedGrad(bar, 1.0), 1.0)
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```
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```
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[1] [Autodiff by G. Dalle](https://gdalle.github.io/JuliaOptimizationDays2024-AutoDiff/#/)

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