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15 Questions

Votes Activity Newest Views

votes

answer

views

gradient descent and local maximum

Aug 14 '18 at 5:08 Skander H. 8,023

votes

answers

695

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conjugate prior: is ever the best choice?

bayesian maximum-likelihood prior hyperparameter conjugate-prior

Apr 16 '17 at 17:36 kjetil b halvorsen 43.2k

votes

answers

589

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Why does pre-training help avoid the vanishing gradient problem?

neural-networks deep-learning backpropagation deep-belief-networks pre-training

Sep 27 '18 at 17:40 eric_kernfeld 4,223

votes

answer

views

Expectation Maximization EM: is possibile in every case?

maximum-likelihood random-variable likelihood expectation-maximization

Apr 19 '17 at 21:03 jkpate 381

votes

answer

views

Why do DeconvNet use ReLU in the backward pass?

neural-networks conv-neural-network explanatory-models transposed-convolution

Mar 30 at 17:56 volperossa 411

votes

answer

138

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Differential Privacy: why $\delta$ negligible on the row numbers?

differential-privacy

Mar 12 at 21:02 Community♦ 1

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answer

235

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Definition of Bayesian network

probability bayesian conditional-probability graphical-model bayesian-network

Jul 27 '17 at 8:33 Tim♦ 75.8k

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answers

137

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boltzmann machine; from logistic function to boltzmann distribution

machine-learning neural-networks deep-learning deep-belief-networks

May 12 '17 at 22:23 amoeba says Reinstate Monica 77.9k

votes

answer

168

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Boltzmann machines: learning algorithm

machine-learning deep-learning rbm deep-belief-networks generative-models

Apr 23 '17 at 18:44 convolutionBoy 111

vote

answer

views

cross entropy loss max value

loss-functions maximum cross-entropy

Feb 15 '19 at 14:47 gunes 24.4k

vote

answers

109

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logistic regression - why we forget assumption on data?

logistic classification normal-distribution covariance-matrix sigmoid-curve

Dec 23 '17 at 13:06 volperossa 411

vote

answers

views

sampling: question about variance estimation

variance estimation sampling mean monte-carlo

Oct 9 '17 at 9:38 volperossa 411

votes

answers

views

Expectation Maximization (EM) stopping criterion

mathematical-statistics likelihood expectation-maximization optimal-stopping

Oct 2 at 14:42 volperossa 411

votes

answer

222

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correlation and independence: common mistake?

correlation independence linear pearson-r

Sep 13 '18 at 11:11 Peter Flom - Reinstate Monica♦ 87.8k

votes

answer

views

simply demostration on conditioned probability

probability conditional-probability graphical-model bayesian-network

Aug 18 '14 at 10:33 volperossa 411

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15 Questions

gradient descent and local maximum

conjugate prior: is ever the best choice?

Why does pre-training help avoid the vanishing gradient problem?

Expectation Maximization EM: is possibile in every case?

Why do DeconvNet use ReLU in the backward pass?

Differential Privacy: why $\delta$ negligible on the row numbers?

Definition of Bayesian network

boltzmann machine; from logistic function to boltzmann distribution

Boltzmann machines: learning algorithm

cross entropy loss max value

logistic regression - why we forget assumption on data?

sampling: question about variance estimation

Expectation Maximization (EM) stopping criterion

correlation and independence: common mistake?

simply demostration on conditioned probability