<commit_before>---
layout:     post
title:      Generative Adversarial Networks
subtitle:   GAN
date:       2017-09-29
author:     Tab
header-img: img/GAN_homepage.jpg
catalog: true
tags:
    - computer vision
    - deep learning
    - GAN
---

# Outline
**Generative Model**
>- **Density estimation**
- **Sample generation**

---
# Motivation
>- **High-dimensional** probability distribution
- incorporated into **reinforcement learning**
- predict missing data **(semi-supervised learning)**<commit_msg>Update 2017-10-02-GAN_tutorial.md<commit_after>---
layout:     post
title:      Generative Adversarial Networks
subtitle:   GAN
date:       2017-09-29
author:     Tab
header-img: img/post-bg-hacker.jpg
catalog: true
tags:
    - computer vision
    - deep learning
    - GAN
---

# Outline
**Generative Model**
>- **Density estimation**
- **Sample generation**

---
# Motivation
>- **High-dimensional** probability distribution
- incorporated into **reinforcement learning**
- predict missing data **(semi-supervised learning)**
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