StackOverflow Questions for Tag: gradient-descent

ismail rachid
ismail rachid

Reputation: 19

theta values for gradient descent not coherent

Score: 1

Views: 31

Answers: 1

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giando.c
giando.c

Reputation: 66

Predictive Maintenance - How to use Bayesian Optimization with objective function and Logistic Regression with Gradient Descent together?

Score: 2

Views: 413

Answers: 1

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Kris
Kris

Reputation: 49

Gradient descent 3D visualization Python

Score: -1

Views: 32

Answers: 0

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danix
danix

Reputation: 145

How to specify gradient computation path in a neural network in pytorch

Score: 0

Views: 27

Answers: 0

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Drout
Drout

Reputation: 335

Global minimum as a starting point of Gradient Descent

Score: 0

Views: 11

Answers: 1

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Jimut123
Jimut123

Reputation: 518

Problem in Backpropagation through a sample in Beta distribution in pytorch

Score: 0

Views: 34

Answers: 1

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Setu Kumar Basak
Setu Kumar Basak

Reputation: 12022

Will larger batch size make computation time less in machine learning?

Score: 6

Views: 18095

Answers: 4

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user3123955
user3123955

Reputation: 2901

Stochastic Gradient Descent for Logistic Regression always returns a cost of Inf and weight vector never gets any closer

Score: 0

Views: 1033

Answers: 1

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Lorenzo Cutrupi
Lorenzo Cutrupi

Reputation: 720

Gradient only defined for scalar-output functions. Output had shape: (1,)

Score: 2

Views: 3270

Answers: 1

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Blacklight
Blacklight

Reputation: 11

Linear regression model barely optimizes the intercept b

Score: 0

Views: 37

Answers: 1

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Alpha
Alpha

Reputation: 7868

Gradient descent on linear regression not converging

Score: 3

Views: 3817

Answers: 2

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MIKEL LASS
MIKEL LASS

Reputation: 11

Issues when minimizing cost function in a simple linear regression

Score: 0

Views: 24

Answers: 0

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aerin
aerin

Reputation: 22694

Implementing Adam in Pytorch

Score: 2

Views: 3155

Answers: 1

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Klae zhou
Klae zhou

Reputation: 1

Autograd on a specific layer’s parameters

Score: 0

Views: 25

Answers: 0

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Jon Nimrod
Jon Nimrod

Reputation: 345

Denormalizing thetas after a linear regression with gradient descent

Score: 0

Views: 572

Answers: 1

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Darkmoon Chief
Darkmoon Chief

Reputation: 140

Do we plug in the old values or the new values during the gradient descent update?

Score: 0

Views: 19

Answers: 0

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Sole Galli
Sole Galli

Reputation: 1082

How to calculate the values at each node in a scikit-learn GradientBoostingRegressor?

Score: 1

Views: 76

Answers: 0

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ho88it
ho88it

Reputation: 21

What is wrong with my gradient descent implementation (SVM classifier with hinge loss)

Score: -1

Views: 57

Answers: 1

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cronin
cronin

Reputation: 113

Decrease the maximum learning rate after every restart

Score: 2

Views: 2716

Answers: 2

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Giacomo Golino
Giacomo Golino

Reputation: 1

ValueError: One or more gradients are None, meaning no gradients are flowing

Score: 0

Views: 25

Answers: 0

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