Generative Model


## Deep Generative Model (DGM)
Generative models aim to **[Density Estimation](https://texonom.com/density-estimation-238e2a8e51f44a67a91c0567892ab643)**** of data**
학습 데이터의 분포와 최대한 유사한 사후분포에서 **새로운 데이터를 생성**
we can address better concern on unseen data


![Tutorial on Generative Adversarial Networks (2017)](https://www.notion.so/image/https%3A%2F%2Fs3-us-west-2.amazonaws.com%2Fsecure.notion-static.com%2Fd9efd95b-5eed-4581-9355-2612eda293e6%2FUntitled.png?table=block&id=35a2f18c-e868-4f78-b32d-e040bccc0a48&cache=v2)



> [Generative AI: autocomplete for everything](https://noahpinion.substack.com/p/generative-ai-autocomplete-for-everything)

> [Generative AI: A Creative New World](https://www.sequoiacap.com/article/generative-ai-a-creative-new-world/)

> [[인공지능] 생성 모델 (Generative AI Model)이란? (1) : AutoEncoder, VAE, GAN](https://newstellar.tistory.com/25)

> [진짜 AI 혁명이 시작된다?](https://stibee.com/api/v1.0/emails/share/BFu7h9MIxQKvkS1EPlAND_0ixxTCvio=)





