TechQA.

Question

How to get more performance out of automatic differentiation?

score 631 · Answer 1 · 2025-01-01 18:47:53

1

Answer

631

Views

How to get more performance out of automatic differentiation?

631 views Asked by fho At 01 January 2025 at 18:47

score 186 · Answer 2 · 2025-01-02 03:01:59

minimal Numeric.AD example won't compile

186 views Asked by kye At 02 January 2025 at 03:01

score 83 · Answer 3 · 2025-01-07 16:11:26

If i can compute the gradient and Hessian, will Newtons method significantly outperform BFGS/L-BFGS?

83 views Asked by vgdev At 07 January 2025 at 16:11

score 3794 · Answer 4 · 2025-01-02 03:05:44

Automatic differentiation library in Scheme / Common Lisp / Clojure

3.7k views Asked by SuperElectric At 02 January 2025 at 03:05

score 449 · Answer 5 · 2025-01-07 13:46:52

how to use promote rule in julia?

449 views Asked by Ali A. Al Nasser At 07 January 2025 at 13:46

score 199 · Answer 6 · 2025-01-02 03:04:34

Is sympy solve compatible with tensorflow GradientTape?

199 views Asked by Yang Jeong Park At 02 January 2025 at 03:04

score 138 · Answer 7 · 2025-01-02 03:05:43

How does TensorFlow compute the gradient of vgg19.preprocess_input?

138 views Asked by Oskar At 02 January 2025 at 03:05

score 929 · Answer 8 · 2025-01-02 03:07:19

What is the correct way to use a PyTorch Module inside a PyTorch Function?

929 views Asked by tsbertalan At 02 January 2025 at 03:07

score 63 · Answer 9 · 2025-01-02 03:09:33

How to compute in tensorflow the partial derivative of each observation from the output w.r.t each input observation

63 views Asked by Tipawqeos At 02 January 2025 at 03:09

score 72 · Answer 10 · 2025-01-02 03:09:13

What is the correct way of defining a differentiable function with scalar arguments that returns a vector/array?

72 views Asked by loonatick At 02 January 2025 at 03:09

TechQA.

List Question

How to get more performance out of automatic differentiation?

minimal Numeric.AD example won't compile

If i can compute the gradient and Hessian, will Newtons method significantly outperform BFGS/L-BFGS?

Automatic differentiation library in Scheme / Common Lisp / Clojure

how to use promote rule in julia?

Is sympy solve compatible with tensorflow GradientTape?

How does TensorFlow compute the gradient of vgg19.preprocess_input?

What is the correct way to use a PyTorch Module inside a PyTorch Function?

How to compute in tensorflow the partial derivative of each observation from the output w.r.t each input observation

What is the correct way of defining a differentiable function with scalar arguments that returns a vector/array?

Popular Questions

Popular Tags

Trending Questions