GANS¶
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Generative adversarial networks 理解生成对抗网络(GANs) - 知乎
一文看尽深度学习中的生成对抗(GAN)网络 _energy-basedgan-CSDN 博客
图解 生成对抗网络 GAN 原理 超详解 _gan 原理图 -CSDN 博客
origin GANs¶
Variants¶
Wasserstein GANs¶
Critics: the discriminator is called a critic,it tells how real the data is
Conditional GANs | cGANs¶
cycle GANs¶
replace the main object but keep the main features
StyleGANs¶
seperate different style of the images
Challenges¶
- Vanishing gradients: the generator gradients vanish, making it impossible to train the generator
- Mode collapse: the generator collapses to a single point in the data space( 一张图片效果好就一直生成 )
- Convergence