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How to get more performance out of automatic differentiation?

score 621 · Answer 1 · 2024-09-08 07:27:09

How to get more performance out of automatic differentiation?

score 172 · Answer 2 · 2024-09-19 20:35:54

172 views Asked by kye At 19 September 2024 at 20:35

score 76 · Answer 3 · 2024-09-19 19:16:15

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

score 3786 · Answer 4 · 2024-09-11 03:20:02

Automatic differentiation library in Scheme / Common Lisp / Clojure

score 443 · Answer 5 · 2024-09-19 20:31:36

443 views Asked by Ali A. Al Nasser At 19 September 2024 at 20:31

score 193 · Answer 6 · 2024-09-19 19:10:14

Is sympy solve compatible with tensorflow GradientTape?

score 131 · Answer 7 · 2024-09-19 19:17:49

How does TensorFlow compute the gradient of vgg19.preprocess_input?

score 924 · Answer 8 · 2024-09-19 21:00:15

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

score 57 · Answer 9 · 2024-09-19 21:00:18

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

score 65 · Answer 10 · 2024-09-19 19:51:13

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

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