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  1. generative adversarial networks - GAN with multiple discriminators ...

    Dec 15, 2022 · MD-GAN (multi-Discriminator Generative Adversarial Networks for Distributed Datasets ) would be among the ones that you might be looking for. It has been proposed a …

  2. Mathematics of GANs (generative adversarial networks)

    Nov 30, 2020 · The paper The Numerics of GANs formalizes GANs as two-player games and analyzes their training dynamics, the paper Which Training Methods for GANs do actually …

  3. ai design - Why are the generator and discriminator designed ...

    Mar 6, 2024 · Why are the generator and discriminator designed differently in the example My First GAN of the coursera course: Build Basic Generative Adversarial Networks (GANs)?

  4. generative adversarial networks - What is the difference between a ...

    Sep 15, 2022 · Start asking to get answers Find the answer to your question by asking. Ask question generative-adversarial-networks

  5. Why are GAN models not heavily used for NLP?

    Mar 24, 2022 · Explore related questions natural-language-processing generative-adversarial-networks See similar questions with these tags.

  6. generative adversarial networks - How to interpret this training ...

    Apr 30, 2024 · Loss curves of generative adversarial networks (GANs) are very difficult to interpret. It depends on the type of GAN used, the type of data used, the size of the networks, …

  7. generative adversarial networks - What is the intuition behind the ...

    Apr 26, 2023 · generative-adversarial-networks generative-model regularization labels Share Improve this question edited Apr 26, 2023 at 8:46

  8. generative adversarial networks - How to prevent …

    Feb 23, 2023 · I am training several different GAN architectures, and I noticed that larger batch sizes may lead to vanishing or exploding gradients. In the interest of accelerating training, …

  9. Why different noise in GAN generate different images?

    Mar 12, 2024 · Let's take this apart. GANs stand for Generative Adversarial Networks. Your question is how GANs are generative (the G part of the name). For this we need to understand …

  10. generative adversarial networks - Why do you sample twice from …

    Mar 11, 2024 · GAN's generator is always deterministic to directly output synthetic data capturing only their rough distribution without (conditional) probabilities like VAEs, so intuitively mode …