Questions Tagged With gradient-descent

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Batch Gradient Descent vs. Stochastic Gradient Descent

Nov 21 '12 at 11:44 Paul Donnelly1 (asked by grautur961 )

gradient-descent

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Adjusting learning rate in Neural network

Nov 18 '12 at 07:24 ogrisel4989 (asked by Kuri_kuri293 )

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[closed] Python Autoencoder Implementation and Gradient Computation/Checking

Oct 27 '11 at 16:49 Alexandre Passos ♦25541 (asked by John Vinyard30 )

python deep-learning autoencoders gradient-descent

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Gradient based optimization of the likelihood - experiences?

Aug 28 '11 at 11:58 Justin Bayer1706

optimization likelihood gradient-descent expectation-maximization

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Overview of gradient methods

Apr 02 '13 at 12:19 Jacob Eisenstein1 (asked by grautur961 )

optimization gradient-descent

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Parameter adaptation through reinforcement learning

Apr 10 '14 at 22:10 BO LIU21 (asked by shn462 )

gradient-descent parameters reinforcement-learning automation optimization machine-learning

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Are the two approaches to \ell_2 regularized logistic regression in scikit-learn equivalent?

Feb 16 '13 at 19:06 Pads Niels16

liblinear logistic-regression scikit-learn optimization gradient-descent

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Fairly comparing algorithms that require early stopping with others that don't

Feb 17 '11 at 18:34 Art Munson646 (asked by yeastwars231 )

training gradient-descent regularization methodology neural-networks early-stopping

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Momentum/NAG and local minima

Oct 18 '13 at 10:49 Tim Dettmers6

optimization neural-networks gradient-descent mnist

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Line Search in Logistic Regression Optimization

Jul 12 '12 at 20:55 Alexandre Passos ♦25541 (asked by David Belanger61 )

gradient-descent convex-optimization discriminative

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Better Mini-Batch Algorithms via Accelerated Gradient Descent

Oct 28 '13 at 09:54 Rakesh Chalasani264 (asked by Max476 )

paper-understanding gradient-descent stochastic-gradient optimization neural-networks learning algorithms sgd

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908

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Advantage of using a Proximal Point method

Jul 12 '13 at 20:32 Alexandre Passos ♦25541 (asked by zaxtax ♦1051 )

optimization gradient-descent proximal-operator

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806

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Training multiple tasks in parallel with shared parameters

Sep 24 '14 at 14:51 Joseph Turian ♦♦5790 (asked by Rex Liu1 )

loss-function neural-networks gradient-descent machine-learning multi-task-learning

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718

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gradient of X^TAY

Aug 31 '13 at 23:03 Alexandre Passos ♦25541 (asked by Behrang Mehrparvar1 )

gradient optimization gradient-descent

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715

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Non-stochastic coordinate descent / gradient descent in 10d

Sep 18 '12 at 07:08 denis281

data-ordering optimization gradient-descent

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690

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'Alternating' descent

Dec 11 '13 at 12:36 Victor May1 (asked by Andre Manoel1 )

optimization gradient-descent

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646

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How to redefine my own custom cost function instead of negative log likelihood in sgd logistic regression?

Apr 18 at 23:47 Afsh1

logistic-regression gradient-descent stochastic-gradient

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517

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As a beginner, I would like to solve convex quadratic maximization problem with a gradient descent variant in probability simplex?

Mar 03 '14 at 09:41 Alexandre Passos ♦25541 (asked by Eren Golge16 )

quadratic-programming gradient-descent convex-optimization

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478

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The calculation of the gradient in log-linear models for parsing

Mar 15 '14 at 06:54 Huijia Wu51

dynamic-programming log-linear gradient-descent parsing

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394

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generalizing results of hyperparameter grid search

Oct 10 '13 at 16:30 Alex E1

hyperparameters grid gradient-descent

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341

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Why is local optimisation on Convolutional Neural Networks as good as global?

Jun 23 '14 at 09:44 Holden Caulfield5

convolution-neural-networks neural-networks gradient-descent local-minima

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270

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learning a transformation matrix with gradient descent

Oct 22 '14 at 13:39 pv12316

optimization gradient-descent transformation

22questions tagged gradient-descent

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