AAE (1) 썸네일형 리스트형 [Week2] DL Basic - Generative Models [Day5] *Learning a Generative Model Suppose we are given images of dogs We want to learn a probability distribution p(x) such that Generation : 개와 같은 비슷한 이미지를 생성할 수 있음 Density estimation(anomaly detection) : p(x)의 x가 강아지 같은지 아닌지 분류 Unsupervised representation learning : feature learning Then, how can we represent p(x)? *Basic Discrete Distributions Bernoulli distribution : (biased) coin flip D = {Heads.. 이전 1 다음
