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20
Devhide
2025-01-01 18:47:53
634
Views
How to get more performance out of automatic differentiation?
Published on
01 January 2025 at 18:47
#haskell
#automatic-differentiation
#hmatrix
189
Views
minimal Numeric.AD example won't compile
Published on
02 January 2025 at 03:01
#haskell
#types
#automatic-differentiation
#autodiff
88
Views
If i can compute the gradient and Hessian, will Newtons method significantly outperform BFGS/L-BFGS?
Published on
07 January 2025 at 16:11
#optimization
#newtons-method
#automatic-differentiation
3.7k
Views
Automatic differentiation library in Scheme / Common Lisp / Clojure
Published on
02 January 2025 at 03:05
#clojure
#lisp
#scheme
#numerical-methods
#automatic-differentiation
453
Views
how to use promote rule in julia?
Published on
07 January 2025 at 13:46
#julia
#automatic-differentiation
202
Views
Is sympy solve compatible with tensorflow GradientTape?
Published on
02 January 2025 at 03:04
#python
#tensorflow
#tensorflow2.0
#sympy
#automatic-differentiation
141
Views
How does TensorFlow compute the gradient of vgg19.preprocess_input?
Published on
02 January 2025 at 03:05
#python
#tensorflow
#automatic-differentiation
#style-transfer
934
Views
What is the correct way to use a PyTorch Module inside a PyTorch Function?
Published on
02 January 2025 at 03:07
#python
#neural-network
#pytorch
#automatic-differentiation
66
Views
How to compute in tensorflow the partial derivative of each observation from the output w.r.t each input observation
Published on
02 January 2025 at 03:09
#python
#tensorflow2.0
#derivative
#automatic-differentiation
77
Views
What is the correct way of defining a differentiable function with scalar arguments that returns a vector/array?
Published on
02 January 2025 at 03:09
#swift
#automatic-differentiation
13
Views
Back propagation in pytorch to calculate component wise derivatives of vector
Published on
02 January 2025 at 03:07
#pytorch
#automatic-differentiation
58
Views
Accurately finding the gradient of values from 2 vectors
Published on
02 January 2025 at 03:05
#julia
#interpolation
#automatic-differentiation
36
Views
How can I get exhaust list of functions available to grad_fn for backward() function in Pytorch?
Published on
02 January 2025 at 03:08
#pytorch
#automatic-differentiation
81
Views
How can I fix this problem of automated differentiation with Tensorflow?
Published on
02 January 2025 at 03:06
#python
#tensorflow
#automatic-differentiation
212
Views
Tensorflow loses track of variables/gradients after multiplication with constant tensor
Published on
02 January 2025 at 03:08
#python
#tensorflow
#tensorflow2.0
#automatic-differentiation
494
Views
Is there a way to define the gradient of a 3D FFT using tensorflow's custom_gradient decorator
Published on
02 January 2025 at 03:08
#python
#tensorflow
#fft
#automatic-differentiation
901
Views
Gradient of neural network with respect to inputs
Published on
02 January 2025 at 03:03
#python
#neural-network
#pytorch
#automatic-differentiation
1.6k
Views
How does tensorflow handle non differentiable nodes during gradient calculation?
Published on
02 January 2025 at 03:07
#python
#tensorflow
#backpropagation
#automatic-differentiation
1k
Views
Why Pytorch autograd need another vector to backward instead of computing Jacobian?
Published on
02 January 2025 at 03:08
#python
#optimization
#pytorch
#backpropagation
#automatic-differentiation
190
Views
No gradients provided for any variable - Custom loss function with random weights depending on the Softmax output
Published on
02 January 2025 at 03:09
#python
#tensorflow
#keras
#loss-function
#automatic-differentiation
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