CS480 Lecture Notes - Lecture 1: Convolutional Neural Network, Alphago, Linear Algebra
Document Summary
Cs 480 : lecture 0 - logistics and intro. Probability , statistics , linear algebra , calculus , programming python) listed online . 20 - 25 lectures , each ~ 1 hour . : 4 * 20 % = 80 % . Density estimation e. g. better language models and their implications , websites , etc . Perceptron , linear regression , k - nearest neighbours . Multilayer perception , deep networks , convolutional neural networks recurrent neural networks. Graph neural networks , optimizers : generative models. Vaes : modern topics in neural networks.