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minimal Numeric.AD example won't compile

score 165 · Answer 1 · 2024-11-25 18:11:31

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minimal Numeric.AD example won't compile

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score 139 · Answer 2 · 2024-11-25 18:24:23

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139 views Asked by Adam At 25 November 2024 at 18:24

score 338 · Answer 3 · 2024-11-24 19:32:24

JuMP: Issues of expecting float64, typeError: in typeassert, expected Float64, got ForwardDiff.Dual with autodiff = true and problems with exp()

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score 272 · Answer 6 · 2024-11-25 18:18:00

Can Tensorflow take gradient on matrix 2-norm?

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score 65 · Answer 7 · 2024-11-24 19:30:30

How do I take gradients of MultibodyPlant computations w.r.t. mass, center-of-mass, inertia, etc.?

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score 185 · Answer 8 · 2024-11-25 18:16:42

Auto-derivative functions in rcpparmadillio?

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score 696 · Answer 9 · 2024-11-25 18:35:56

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score 1656 · Answer 10 · 2024-11-25 18:30:11

How does pytorch compute derivatives for simple functions?

1.6k views Asked by Caprikuarius2 At 25 November 2024 at 18:30

TechQA.

List Question

minimal Numeric.AD example won't compile

Is it possible to use GLM with non-fundamental types?

JuMP: Issues of expecting float64, typeError: in typeassert, expected Float64, got ForwardDiff.Dual with autodiff = true and problems with exp()

Partial derivatives using Jax?

Microsoft CNTK Automatic Differentiation

Can Tensorflow take gradient on matrix 2-norm?

How do I take gradients of MultibodyPlant computations w.r.t. mass, center-of-mass, inertia, etc.?

Auto-derivative functions in rcpparmadillio?

How to write a JAX custom vector-Jacobian product (vjp) for softmax

How does pytorch compute derivatives for simple functions?

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