Generative Learning
[Discriminative Learning](https://texonom.com/discriminative-learning-6c8fa85172824233934d62cc217871f4) [Bayesian inference](https://texonom.com/bayesian-inference-e3cabe7844954db097867a732143ddd8) [Bayes Theorem](https://texonom.com/bayes-theorem-e512b6c0308f4270aaae9ae53060ccab) [Bayesian](https://texonom.com/bayesian-abfa2017bb054f3a9dfcbc9a6c1042f6) 


### model and learn likelihood from data distribution
Estimate prior and deduce posterior
**데이터의 분포를 학습하여 생성 규칙**을 파악
can compute how probable any given model instance is
Can be learned using images from just a single category
### Generative Learning Notion
|Title|
|:-:|
|[Generative Model](https://texonom.com/generative-model-6e5204d2982b4042847aa42e88eb8fb5)|
|[Discriminant Analysis](https://texonom.com/discriminant-analysis-2ffa0dbd34204642b6fe23ed5fbf3b00)|
|[Naïve Bayes](https://texonom.com/nave-bayes-0d56821e2bcf4504899d63c22d9a533f)|
|[Variational Inference](https://texonom.com/variational-inference-05563e34ddec467c95c9bda931770d50)|









