Is it possible for a DCGAN to do regression? What are some examples of this?












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I'm currently a student doing some machine learning projects, and I want to use generative adversarial networks to train some data to discern for example, how old someone is. The intended output is a regression continuous output in term of months.



I see the DCGANs and GANs are targeting mainly classification problems. Can they be used to solve regression problems?



Thank you.










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  • $begingroup$
    GANs are not targettting classification problems. They are generative models, so their purpose is to generate data, usually images.
    $endgroup$
    – ncasas
    Aug 9 '18 at 8:02










  • $begingroup$
    @ncasas thanks, I just realized this, that the purpose of classifying was to get the generator's output as close as possible to the "real" images.
    $endgroup$
    – lppier
    Aug 9 '18 at 10:51
















1












$begingroup$


I'm currently a student doing some machine learning projects, and I want to use generative adversarial networks to train some data to discern for example, how old someone is. The intended output is a regression continuous output in term of months.



I see the DCGANs and GANs are targeting mainly classification problems. Can they be used to solve regression problems?



Thank you.










share|improve this question









$endgroup$












  • $begingroup$
    GANs are not targettting classification problems. They are generative models, so their purpose is to generate data, usually images.
    $endgroup$
    – ncasas
    Aug 9 '18 at 8:02










  • $begingroup$
    @ncasas thanks, I just realized this, that the purpose of classifying was to get the generator's output as close as possible to the "real" images.
    $endgroup$
    – lppier
    Aug 9 '18 at 10:51














1












1








1





$begingroup$


I'm currently a student doing some machine learning projects, and I want to use generative adversarial networks to train some data to discern for example, how old someone is. The intended output is a regression continuous output in term of months.



I see the DCGANs and GANs are targeting mainly classification problems. Can they be used to solve regression problems?



Thank you.










share|improve this question









$endgroup$




I'm currently a student doing some machine learning projects, and I want to use generative adversarial networks to train some data to discern for example, how old someone is. The intended output is a regression continuous output in term of months.



I see the DCGANs and GANs are targeting mainly classification problems. Can they be used to solve regression problems?



Thank you.







gan






share|improve this question













share|improve this question











share|improve this question




share|improve this question










asked Aug 9 '18 at 5:57









lppierlppier

1062




1062












  • $begingroup$
    GANs are not targettting classification problems. They are generative models, so their purpose is to generate data, usually images.
    $endgroup$
    – ncasas
    Aug 9 '18 at 8:02










  • $begingroup$
    @ncasas thanks, I just realized this, that the purpose of classifying was to get the generator's output as close as possible to the "real" images.
    $endgroup$
    – lppier
    Aug 9 '18 at 10:51


















  • $begingroup$
    GANs are not targettting classification problems. They are generative models, so their purpose is to generate data, usually images.
    $endgroup$
    – ncasas
    Aug 9 '18 at 8:02










  • $begingroup$
    @ncasas thanks, I just realized this, that the purpose of classifying was to get the generator's output as close as possible to the "real" images.
    $endgroup$
    – lppier
    Aug 9 '18 at 10:51
















$begingroup$
GANs are not targettting classification problems. They are generative models, so their purpose is to generate data, usually images.
$endgroup$
– ncasas
Aug 9 '18 at 8:02




$begingroup$
GANs are not targettting classification problems. They are generative models, so their purpose is to generate data, usually images.
$endgroup$
– ncasas
Aug 9 '18 at 8:02












$begingroup$
@ncasas thanks, I just realized this, that the purpose of classifying was to get the generator's output as close as possible to the "real" images.
$endgroup$
– lppier
Aug 9 '18 at 10:51




$begingroup$
@ncasas thanks, I just realized this, that the purpose of classifying was to get the generator's output as close as possible to the "real" images.
$endgroup$
– lppier
Aug 9 '18 at 10:51










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Semi-supervised Biomedical Translation with Cycle Wasserstein Regression GANs



http://www.marzyehghassemi.com/wp-content/uploads/2018/01/semi-supervised-CWR-GAN_Ghassemi.pdf





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    Semi-supervised Biomedical Translation with Cycle Wasserstein Regression GANs



    http://www.marzyehghassemi.com/wp-content/uploads/2018/01/semi-supervised-CWR-GAN_Ghassemi.pdf





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      Semi-supervised Biomedical Translation with Cycle Wasserstein Regression GANs



      http://www.marzyehghassemi.com/wp-content/uploads/2018/01/semi-supervised-CWR-GAN_Ghassemi.pdf





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        Semi-supervised Biomedical Translation with Cycle Wasserstein Regression GANs



        http://www.marzyehghassemi.com/wp-content/uploads/2018/01/semi-supervised-CWR-GAN_Ghassemi.pdf





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        Semi-supervised Biomedical Translation with Cycle Wasserstein Regression GANs



        http://www.marzyehghassemi.com/wp-content/uploads/2018/01/semi-supervised-CWR-GAN_Ghassemi.pdf






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