Re-GAN:GAN.

概括

Re-GAN提供了一种数据效率高的方法,通过动态修剪和重新生长连接来训练具有有限数据的生成对抗网络 (GAN). 这种方法提高了GAN的培训稳定性和性能,避免了资源密集型循环.

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