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.
gan
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add a comment |
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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.
gan
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GANs are not targettting classification problems. They are generative models, so their purpose is to generate data, usually images.
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– ncasas
Aug 9 '18 at 8:02
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@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.
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– lppier
Aug 9 '18 at 10:51
add a comment |
$begingroup$
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.
gan
$endgroup$
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
gan
asked Aug 9 '18 at 5:57
lppierlppier
1062
1062
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GANs are not targettting classification problems. They are generative models, so their purpose is to generate data, usually images.
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– ncasas
Aug 9 '18 at 8:02
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@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
add a comment |
$begingroup$
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
add a comment |
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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
New contributor
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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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GANs are not targettting classification problems. They are generative models, so their purpose is to generate data, usually images.
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– ncasas
Aug 9 '18 at 8:02
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@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