GAN
[Unsupervised learning](https://texonom.com/unsupervised-learning-8cb6e253bfa845b5931d22963ea93019) [Generative Model](https://texonom.com/generative-model-6e5204d2982b4042847aa42e88eb8fb5) [Transfer Learning](https://texonom.com/transfer-learning-442feb66465944eebf144d4e9dd1dbf8) 


## Generative Adversarial Network
Learn how to generate samples, 위조지폐와 경찰같이 경쟁하며 발전
### GAN Notion
|Title|
|:-:|
|[Generator Network](https://texonom.com/generator-network-3d3fb237d8f149979c7ed172aca65529)|
|[Discriminator Network](https://texonom.com/discriminator-network-a02287522a264d779574871285eed3b6)|
|[GAN Minmax Game](https://texonom.com/gan-minmax-game-d3b08fa32fc34cf5920bfc0e80c34b90)|
|[GAN Issues](https://texonom.com/gan-issues-be6312c3a8184b55ba443167164101ba)|


### GANs
|Title|
|:-:|
|[3D GAN](https://texonom.com/3d-gan-672af0e2639041e484ed1a26b56f84cb)|
|[DCGAN](https://texonom.com/dcgan-ae93b511fed5402c926e818243d8a966)|
|[DragGan](https://texonom.com/draggan-bd335de6767243e7b7ec48ff88dea800)|



> [Generative adversarial network](https://en.wikipedia.org/wiki/Generative_adversarial_network)





