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How to get more performance out of automatic differentiation?

score 650 · Answer 1 · 2025-01-01 18:47:53

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How to get more performance out of automatic differentiation?

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

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score 94 · 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?

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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?

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