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volperossa
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7 votes
1 answer
5k views

gradient descent and local maximum

5 votes
2 answers
686 views

SciKit Learn: Multilayer perceptron early stopping, restore best weights

5 votes
2 answers
847 views

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

4 votes
2 answers
958 views

conjugate prior: is ever the best choice?

4 votes
1 answer
6k views

cross entropy loss max value

3 votes
0 answers
103 views

ICA: a question about the non-gaussian requirement

3 votes
1 answer
110 views

Expectation Maximization EM: is possibile in every case?

3 votes
1 answer
210 views

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

3 votes
1 answer
243 views

Definition of Bayesian network

3 votes
1 answer
199 views

Boltzmann machines: learning algorithm

3 votes
1 answer
440 views

Why do DeconvNet use ReLU in the backward pass?

2 votes
0 answers
179 views

boltzmann machine; from logistic function to boltzmann distribution

2 votes
1 answer
603 views

correlation and independence: common mistake?

1 vote
1 answer
163 views

logistic regression - why we forget assumption on data?

1 vote
0 answers
22 views

reproducing kernel hilbert space notation

1 vote
1 answer
61 views

automatic diffentiation (autograd): when the explicit definition of the gradient function is needed?

1 vote
1 answer
88 views

simply demostration on conditioned probability

1 vote
0 answers
40 views

sampling: question about variance estimation

0 votes
0 answers
1k views

Expectation Maximization (EM) stopping criterion