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We need to understand the backend architecture so that we can be confident about it.
-Model1: GAN
We have generator & discriminator.
Based on the user's choice it learns & improves upon.
It…
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I will make this short and quick for all of you to read. I think it would be a good idea if hifigan was switched with bigvgan for better fidelity and mel representation, or at the very least vocos. It…
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A deep convolutional generative adversarial network implemented in PyTorch! The project is designed to generate realistic images from random noise using the power of deep learning.
This project illus…
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To be investigated
https://hackernoon.com/how-do-gans-intuitively-work-2dda07f247a1
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**Feature request:** Add Optimistic Adam, an [optimistic](https://optax.readthedocs.io/en/latest/api/optimizers.html#optax.optimistic_gradient_descent) variant of [Adam](https://optax.readthedocs.io/e…
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By attacker/discrim, are you doing a GAN-like training?
Let me know how progress is going and if you have any qs.
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Is it possible to develop a Generative Adversial Network with caffe2?
I'm struggling a bit on how to give the gradient of the discriminator to the generator.
Is there any minimal example?
Thank…
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## 論文リンク
https://arxiv.org/abs/1705.10461
## 公開日(yyyy/mm/dd)
2017/05/30
## 概要
GANの学習の収束性に関して、目的関数の勾配ベクトル場を解析することで理解を深めようという論文。
勾配ベクトル場の Jacobian の固有値に注目し、収束のために固有値の実部が非ゼロで大きくない値でかつ虚部が大きくない場合…
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I want to add "DC-GANs" technique in "18. Generative Adversarial Networks (GANs)", with GitHub repo. & Research paper reference. Please create a PR for the same. Thank you.