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What does E mean in the GAN equation?



The 2019 Stack Overflow Developer Survey Results Are In
Announcing the arrival of Valued Associate #679: Cesar Manara
Planned maintenance scheduled April 17/18, 2019 at 00:00UTC (8:00pm US/Eastern)
2019 Moderator Election Q&A - Questionnaire
2019 Community Moderator Election ResultsWhat are the relationships/differences between Bias, Variance and ResidualsDoes anyone could help me to understand what is the autoencoders?What is the purpose of the discriminator in an adversarial autoencoder?What does discriminator of a GAN should do?Maximum Entropy modelling - likelihood equationWGAN is too slow what are some ways to tweak for speed ups?EGAN Paper With Confusing NotationWhat does Machine Learning Paradigms means, and what are they?What is the interpretation of the expectation notation in the GAN formulation?What does it mean to take the “average” of two decision trees by 'voting'










0












$begingroup$


I don't understand what "E" means in the GAN equation.



enter image description here



It would be great, if someone could explain what it means. Is it entropy or expected value or something else? I couldn't manage to find the answer in the original article.










share|improve this question











$endgroup$







  • 1




    $begingroup$
    Looks like the statistical expectation when x (y) is specified by the prior distribution p(x) (p(y))?
    $endgroup$
    – bradS
    Mar 31 at 20:08















0












$begingroup$


I don't understand what "E" means in the GAN equation.



enter image description here



It would be great, if someone could explain what it means. Is it entropy or expected value or something else? I couldn't manage to find the answer in the original article.










share|improve this question











$endgroup$







  • 1




    $begingroup$
    Looks like the statistical expectation when x (y) is specified by the prior distribution p(x) (p(y))?
    $endgroup$
    – bradS
    Mar 31 at 20:08













0












0








0





$begingroup$


I don't understand what "E" means in the GAN equation.



enter image description here



It would be great, if someone could explain what it means. Is it entropy or expected value or something else? I couldn't manage to find the answer in the original article.










share|improve this question











$endgroup$




I don't understand what "E" means in the GAN equation.



enter image description here



It would be great, if someone could explain what it means. Is it entropy or expected value or something else? I couldn't manage to find the answer in the original article.







machine-learning gan generative-models






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited Apr 1 at 3:12









Ethan

697625




697625










asked Mar 31 at 20:01









PetroPetro

1




1







  • 1




    $begingroup$
    Looks like the statistical expectation when x (y) is specified by the prior distribution p(x) (p(y))?
    $endgroup$
    – bradS
    Mar 31 at 20:08












  • 1




    $begingroup$
    Looks like the statistical expectation when x (y) is specified by the prior distribution p(x) (p(y))?
    $endgroup$
    – bradS
    Mar 31 at 20:08







1




1




$begingroup$
Looks like the statistical expectation when x (y) is specified by the prior distribution p(x) (p(y))?
$endgroup$
– bradS
Mar 31 at 20:08




$begingroup$
Looks like the statistical expectation when x (y) is specified by the prior distribution p(x) (p(y))?
$endgroup$
– bradS
Mar 31 at 20:08










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