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docs: add JuliaCon2025 slides
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slides/Project.toml

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[deps]
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LineSearches = "d3d80556-e9d4-5f37-9878-2ab0fcc64255"
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Lux = "b2108857-7c20-44ae-9111-449ecde12c47"
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ModelingToolkit = "961ee093-0014-501f-94e3-6117800e7a78"
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ModelingToolkitNeuralNets = "f162e290-f571-43a6-83d9-22ecc16da15f"
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ModelingToolkitStandardLibrary = "16a59e39-deab-5bd0-87e4-056b12336739"
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Optimization = "7f7a1694-90dd-40f0-9382-eb1efda571ba"
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OptimizationOptimJL = "36348300-93cb-4f02-beb5-3c3902f8871e"
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OrdinaryDiffEqTsit5 = "b1df2697-797e-41e3-8120-5422d3b24e4a"
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Plots = "91a5bcdd-55d7-5caf-9e0b-520d859cae80"
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Pluto = "c3e4b0f8-55cb-11ea-2926-15256bba5781"
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PlutoUI = "7f904dfe-b85e-4ff6-b463-dae2292396a8"
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SciMLSensitivity = "1ed8b502-d754-442c-8d5d-10ac956f44a1"
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StableRNGs = "860ef19b-820b-49d6-a774-d7a799459cd3"
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Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
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SymbolicIndexingInterface = "2efcf032-c050-4f8e-a9bb-153293bab1f5"
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SymbolicRegression = "8254be44-1295-4e6a-a16d-46603ac705cb"
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Zygote = "e88e6eb3-aa80-5325-afca-941959d7151f"
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[sources]
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ModelingToolkitNeuralNets = {path = ".."}

slides/nn.png

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