1. Deep Dream
2. Style Transfer
![](static/images/styletransfer-loss.jpg)
loss =
distance(style(reference_image) - style(generated_image)) +
distance(content(original_image) - content(generated_image))
3. Variational Auto Encoders
![](static/images/vae-diagram-00.jpg)
![](static/images/vae-diagram.jpg)
![](static/images/vae-diagram-01.jpg)
4. Generative Adversarial Networks
![](static/images/gan-diagram.jpg)
Status Quo?
Projects - Discussions
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Teams, ideas, questions...
Projects - Options
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- Share work Front-End / Backend (API) / Training (Dataset + model)
- Model Build from scratch / Use existing implementation(s) / Use transfer learning
- Dataset Use existing one / Build your own
- Frontend Choose your language / Use a web framework
- Usage Concrete task / Design / Music / etc...
Credits
- Photosunsplash.com
- DiagramsDeep Learning With Python by François Chollet