HJ

Leave HJ’s trace, All-In

[Linear Algebra for AI] 13. 그람-슈미트 직교화와 QR 분해

Gram-Schmidt Orthogonalization & A=QR

[Hands-On ML] 4장. 모델 훈련 - 3

로지스틱 회귀와 softmax

[Linear Algebra for AI] 12. Orthogonal Projection Ⅱ

Orthogonal Projection & Linear Transformation

[Deep Learning Basic Starting with TF] 실습 7-3-2. Application & Tips: 다양한 Dataset으로 실습

keras로 신경망 구축하기

[Deep Learning Basic Starting with TF] 실습 7-3-1. Application & Tips: Data & Learning

이상치 탐지, fine tuning, feature extraction