Adversarial Auto-Encoders

目录

* Another Approach: q(z)->p(z)
<https://www.cnblogs.com/nickchen121/p/11073136.html#another-approach-qz-pz>
* Intuitively comprehend KL(p|q)
<https://www.cnblogs.com/nickchen121/p/11073136.html#intuitively-comprehend-klpq>
* Minimize KL Divergence
<https://www.cnblogs.com/nickchen121/p/11073136.html#minimize-kl-divergence>
* How to compute KL between q(z) and p(z)
<https://www.cnblogs.com/nickchen121/p/11073136.html#how-to-compute-kl-between-qz-and-pz>
* Distribution of hidden code


* Give more details after GAN


Another Approach: q(z)->p(z)

* 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

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