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Top Questions
40 votes

What should I do when my neural network doesn't generalize well?

neural-networks overfitting asked Sep 7 '18 at 9:12
stats.stackexchange.com

31 votes

Consequences of the Gaussian correlation inequality for computing joint confidence intervals

normal-distribution confidence-interval multivariate-normal asked Mar 29 '17 at 19:10
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28 votes

What is it meant with the $\sigma$-algebra generated by a random variable?

probability random-variable sigma-algebra asked Nov 7 '17 at 15:45
stats.stackexchange.com

27 votes

What are attention mechanisms exactly?

time-series deep-learning lstm rnn attention asked May 4 '18 at 17:20
stats.stackexchange.com

26 votes

Associate ipynb files with Jupyter notebook in Windows 10 (Anaconda)

windows anaconda jupyter-notebook jupyter asked Nov 13 '17 at 15:32
stackoverflow.com

22 votes

Showing that 100 measurements for 5 subjects provide much less information than 5 measurements for 100 subjects

mixed-model variance repeated-measures sample-size intraclass-correlation asked Jul 30 '17 at 18:17
stats.stackexchange.com

20 votes

Simplest way to delete a “composite” word?

cursor-motions normal-mode asked Nov 5 '18 at 10:00
vi.stackexchange.com

20 votes

Is it true that all computer chess programs can be forced into a three-fold repetition draw?

chess computers asked Jan 4 at 11:14
boardgames.stackexchange.com

17 votes

What's the name of the logical fallacy where a debater extends a statement far beyond the original statement to make it true?

logic fallacies asked Mar 20 '19 at 12:31
philosophy.stackexchange.com

16 votes

Choosing between “Statistics” by Freedman et al., and “Statistical Models: Theory and Practice” by Freedman

references asked Oct 19 '17 at 15:48
stats.stackexchange.com

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Top Answers
54
CNN architectures for regression?
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47
What are the main theorems in Machine (Deep) Learning?
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41
What are variational autoencoders and to what learning tasks are they used?
stats.stackexchange.com

35
Why is the mean function in Gaussian Process uninteresting?
stats.stackexchange.com

25
Prediction interval for binomial random variable
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25
Should I teach Bayesian or frequentist statistics first?
stats.stackexchange.com

19
How large exactly is the mosasaurus in Jurassic World?
scifi.stackexchange.com

18
Do Gaussian process (regression) have the universal approximation property?
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17
Beta distribution on flipping a coin
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16
What should I do when my neural network doesn't learn?
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14
What is a distribution over functions?
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14
Why Hamiltonian dynamics is better than random walk proposal in MCMC in some cases?
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13
Why is increasing the non-linearity of neural networks desired?
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12
Gaussian process prediction interval
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11
Why second order SGD convergence methods are unpopular for deep learning?
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11
Bayesian updating - coin tossing example
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11
Multi-layer perceptron vs deep neural network
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10
What should I do when my neural network doesn't generalize well?
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9
How should I standardize input when fine-tuning a CNN?
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9
Convolutional Neural Network Scale Sensitivity
stats.stackexchange.com

8
interpretation of the output of R function bs() (B-spline basis matrix)
stackoverflow.com

8
Compare the statistical significance of the difference between two polynomial regressions in R
stats.stackexchange.com

8
how to find the coefficient for the construction of the linear regression model (using Fourier )?
stats.stackexchange.com

8
What're the differences between PCA and autoencoder?
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8
What is the essential difference between a neural network and nonlinear regression?
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8
Why not just dump the neural networks and deep learning?
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7
Criteria for choosing a mean function for a GP
stats.stackexchange.com

7
Can it be over fitting when validation loss and validation accuracy is both increasing?
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7
Generate images from CNN model built with transfer learning
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7
Why does VGG16 double number of features after each maxpooling layer?
stats.stackexchange.com

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