Adversarial Auto-Encoders

目录

• Another Approach: q(z)->p(z)
  • Intuitively comprehend KL(p|q)
• Minimize KL Divergence
  • How to compute KL between q(z) and p(z)

TensorFlow2教程完整教程目录（更有python、go、pytorch、tensorflow、爬虫、人工智能教学等着你）：https://www.cnblogs.com/nickchen121/p/10840284.html

• Distribution of hidden code

• Give more details after GAN

• Explicitly enforce

Intuitively comprehend KL(p|q)

\(KL \in{[0,+\infty]}\)

• KL = 0 --> \(p\approx{q}\)

Minimize KL Divergence

• Evidence Lower BOund

\[KL(q_\theta(z|x_i)||p(z)) \]

How to compute KL between q(z) and p(z)

我们所希望的两点：

• 重建变量
• 隐藏变量逼近p的分布