[CS231n] 03. Loss Functions and Optimization
(1) Loss Functions(Multiclass SVM Loss/Regularization/Softmax Classifier) (2) Optimization(Gradient Descent/SGD)
최근 포스트
[CS231n] 02. Image Classfication pipeline
(1) Image classfication(nn/k-nn) (2) Linear Classification
[CS231n] 01. Introduction to Convolutional Neural Networks for Visual Recognition
(1) A history of Computer Vision (2) CS231n overview
CS231n 강의 노트
Stanford 대학교의 CS231n 강의를 듣고 정리한 내용입니다 :)