Where can I find out about the “Helvetica scenario”? Announcing the arrival of Valued Associate #679: Cesar Manara Planned maintenance scheduled April 23, 2019 at 23:30 UTC (7:30pm US/Eastern) 2019 Moderator Election Q&A - Questionnaire 2019 Community Moderator Election Resultshow to calculate the output shape of conv2d_transpose?Find-out abnormal behavior over the timeGAN - why doesn't the generator nullify the noise input?Can a GAN-like architecture be used for maximizing the value of a regression predictor?How can both generator and discriminator losses decrease?How to find out bad images?Can a Conditional GAN be used for a regression task, where the condition can take any continuous value?Where can I find an implementation of an Unsupervised Neural Network?What does E mean in the GAN equation?(Almost) linearely separable dataset, where can I find one?
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Where can I find out about the “Helvetica scenario”?
Announcing the arrival of Valued Associate #679: Cesar Manara
Planned maintenance scheduled April 23, 2019 at 23:30 UTC (7:30pm US/Eastern)
2019 Moderator Election Q&A - Questionnaire
2019 Community Moderator Election Resultshow to calculate the output shape of conv2d_transpose?Find-out abnormal behavior over the timeGAN - why doesn't the generator nullify the noise input?Can a GAN-like architecture be used for maximizing the value of a regression predictor?How can both generator and discriminator losses decrease?How to find out bad images?Can a Conditional GAN be used for a regression task, where the condition can take any continuous value?Where can I find an implementation of an Unsupervised Neural Network?What does E mean in the GAN equation?(Almost) linearely separable dataset, where can I find one?
$begingroup$
From the paper introducing GANs:
It makes sense that collapsing too many $vecz$-values to a single $vecx$-value will cause problems. However, I was a bit confused as to how training $G$ for a shorter amount of time before running $D$ can fix it. But when I googled "Helvetica scenario", all I could find were references to a parody show called Look Around You.
Since it seems like this is an actual thing, not just a parody—where can I find out more about it, and how it can be prevented? And why is it called "the Helvetica scenario"?
machine-learning neural-network gan generative-models
asked 10 mins ago
DraconisDraconis
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$endgroup$
add a comment |
$begingroup$
From the paper introducing GANs:
It makes sense that collapsing too many $vecz$-values to a single $vecx$-value will cause problems. However, I was a bit confused as to how training $G$ for a shorter amount of time before running $D$ can fix it. But when I googled "Helvetica scenario", all I could find were references to a parody show called Look Around You.
Since it seems like this is an actual thing, not just a parody—where can I find out more about it, and how it can be prevented? And why is it called "the Helvetica scenario"?
machine-learning neural-network gan generative-models
asked 10 mins ago
DraconisDraconis
101
New contributor
Draconis is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
add a comment |
$begingroup$
From the paper introducing GANs:
It makes sense that collapsing too many $vecz$-values to a single $vecx$-value will cause problems. However, I was a bit confused as to how training $G$ for a shorter amount of time before running $D$ can fix it. But when I googled "Helvetica scenario", all I could find were references to a parody show called Look Around You.
Since it seems like this is an actual thing, not just a parody—where can I find out more about it, and how it can be prevented? And why is it called "the Helvetica scenario"?
machine-learning neural-network gan generative-models
asked 10 mins ago
DraconisDraconis
101
New contributor
Draconis is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
From the paper introducing GANs:
It makes sense that collapsing too many $vecz$-values to a single $vecx$-value will cause problems. However, I was a bit confused as to how training $G$ for a shorter amount of time before running $D$ can fix it. But when I googled "Helvetica scenario", all I could find were references to a parody show called Look Around You.
Since it seems like this is an actual thing, not just a parody—where can I find out more about it, and how it can be prevented? And why is it called "the Helvetica scenario"?
machine-learning neural-network gan generative-models
machine-learning neural-network gan generative-models
asked 10 mins ago
DraconisDraconis
101
New contributor
Draconis is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 10 mins ago
DraconisDraconis
101
New contributor
Draconis is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 10 mins ago
DraconisDraconis
101
New contributor
Draconis is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 10 mins ago
DraconisDraconis
101
asked 10 mins ago
DraconisDraconis
101
101
New contributor
Draconis is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
Draconis is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
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Check out our Code of Conduct.
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