TechQA.

Question

minimal Numeric.AD example won't compile

score 166 · Answer 1 · 2016-12-26 11:17:21

1

Answer

166

Views

minimal Numeric.AD example won't compile

166 views Asked by kye At 26 December 2016 at 11:17

score 141 · Answer 2 · 2020-11-27 22:17:26

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

141 views Asked by Adam At 27 November 2020 at 22:17

score 339 · Answer 3 · 2022-04-28 05:34:35

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

339 views Asked by Eigenvalue At 28 April 2022 at 05:34

score 2836 · Answer 4 · 2021-04-16 04:56:49

Partial derivatives using Jax?

2.8k views Asked by jbuddy_13 At 16 April 2021 at 04:56

score 119 · Answer 5 · 2018-11-14 16:54:36

Microsoft CNTK Automatic Differentiation

119 views Asked by Rod At 14 November 2018 at 16:54

score 271 · Answer 6 · 2018-11-15 23:35:33

Can Tensorflow take gradient on matrix 2-norm?

271 views Asked by ArtificiallyIntelligent At 15 November 2018 at 23:35

score 67 · Answer 7 · 2021-05-29 17:28:40

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

67 views Asked by Eric Cousineau At 29 May 2021 at 17:28

score 188 · Answer 8 · 2021-05-28 06:48:10

Auto-derivative functions in rcpparmadillio?

188 views Asked by Xia.Song At 28 May 2021 at 06:48

score 697 · Answer 9 · 2021-06-01 14:22:30

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

697 views Asked by pups At 01 June 2021 at 14:22

score 1657 · Answer 10 · 2020-07-22 04:25:02

How does pytorch compute derivatives for simple functions?

1.6k views Asked by Caprikuarius2 At 22 July 2020 at 04:25

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?

Popular Questions

Popular Tags

Trending Questions