## Generative Adversarial Networks GAN

Tags: #machine learning #gan### Equation

$$\min_{G} \max_{D} V(D,G)=\mathbb{E}_{x \sim p_{data}(x)}[\log D(x)]+\mathbb{E}_{z \sim p_{z}(z)}[\log(1-D(G(z)))]$$### Latex Code

\min_{G} \max_{D} V(D,G)=\mathbb{E}_{x \sim p_{data}(x)}[\log D(x)]+\mathbb{E}_{z \sim p_{z}(z)}[\log(1-D(G(z)))]

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### Introduction

#### Equation

#### Latex Code

#### Explanation

GAN latex code is illustrated above. See paper for more details Generative Adversarial Networks

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