上面為在 Markdown 文件中 呈現的效果

下面為相應的 markdown code

1.

# Simple DQN

* It’s Python :).

[](https://youtu.be/KkIf0Ok5GCE)

2.

## Installation

Currently only instructions for Ubuntu are provided. For OS X refer to

[ALE](https://github.com/mgbellemare/Arcade-Learning-Environment/blob/master/doc/manual/manual.pdf) and

[Neon](http://neon.nervanasys.com/docs/latest/installation.html) documentation.

3.

Check out and compile the code:
“`
git clone https://github.com/NervanaSystems/neon.git
cd neon
make
“`

4.

If you want to try out the filter visualization, use latest Neon and run `make -e VIS=true` instead. If you’ve already installed Neon without enabling visualization dependencies you’ll need to `touch vis_requirements.txt` prior to the `make -e VIS=true` call to ensure virtualenv Python dependencies get triggered.

5.

上面是個動畫 只要創一個新的資料夾 然後用markdown 語法引入就可以了 

<img src=”./images/flappy_bird_demp.gif” width=”250″>

6.

# word-rnn-tensorflow
[](https://travis-ci.org/hunkim/word-rnn-tensorflow)