ML, DL/Deep learning text book (3) 썸네일형 리스트형 4. Numerical Computation https://leejunhyun.github.io/deep%20learning/2018/09/27/DLB-04/ [DeepLearningBook] Chapter 4 : Numerical Computation 이 책 내용을 정리한 포스트입니다. https://www.deeplearningbook.org/, Ian Goodfellow and Yoshua Bengio and Aaron Courville, An MIT Press book leejunhyun.github.io 3. Probability and Information Theory - Source of uncertainiy 1. Inherent stochasticity in the system bening modeled 2. Imcomplete observability 3. Incomplete modeling (model that must discard some of the information we have observed) - Frequentist probability :related directly to the rates at which events occur - Bayesian probability : related to qualitative levels of certainty (degree of belief) - Probability mass function (PMF) :.. 2. Linear Algebra https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=&ved=2ahUKEwitkrDdpfj5AhUDMN4KHeF2C8gQFnoECAQQAQ&url=https%3A%2F%2Fwww.math.uwaterloo.ca%2F~hwolkowi%2Fmatrixcookbook.pdf&usg=AOvVaw2-gEURFNI1dDk06V90nZio https://www.google.com/url?cd=&esrc=s&q=&rct=j&sa=t&source=web&url=https%3A%2F%2Fwww.math.uwaterloo.ca%2F~hwolkowi%2Fmatrixcookbook.pdf&usg=AOvVaw2-gEURFNI1dDk06V90nZio&ved=2ahUKEwi.. 이전 1 다음
