[解讀] COEGAN Evaluating the Coevolution Effect in Generative Adversarial Networks
鏈接: https://arxiv.org/abs/1912.06172v1, https://arxiv.org/abs/1912.06180v1 本文提出一種協同進化的生成式對抗網絡(COEGAN), 將進化和協同訓練應用到 GAN 中, 該方法將能夠克服 GAN 訓練中遇到的梯度消失和模型崩潰問題, 能夠生成更有效的網絡結構. 試驗結果表明該方法訓練穩定並且表現優秀. 相關的工作 Neuro
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相關文章
- 1. [解讀] ClusterGAN : Latent Space Clustering in Generative Adversarial Networks
- 2. [解讀] Coupled Generative Adversarial Networks
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- 4. Triangle Generative Adversarial Networks
- 5. Contrastive Generative Adversarial Networks
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