> For the complete documentation index, see [llms.txt](https://opencampus.gitbook.io/opencampus-machine-learning-program/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/deep-learning-for-computer-vision/week-9-sequence-models-and-attention-mechanism.md).

# Week 9 - Art Generation with Neural Style Transfer

## This week you will..

* Discuss about neural network and art generation
* Discuss about cost functions

## Learning Resources

{% embed url="<https://github.com/lucidrains/deep-daze>" %}
A super cool command tool to let network "imagine" stuff
{% endembed %}

{% embed url="<https://github.com/lucidrains/DALLE-pytorch>" %}
An attempt of creating an open source version of DALL-E
{% endembed %}

{% embed url="<https://github.com/Mnpr/Art-Generation-GANs>" %}
Project from a participant of the last semester
{% endembed %}

### Check out Phil Wang's Repositories for more cool projects:

{% embed url="<https://github.com/lucidrains>" %}

## Until next week you should

* Work on your project - no fixed homework this week!


---

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