반응형
Notice
Recent Posts
Recent Comments
Link
일 | 월 | 화 | 수 | 목 | 금 | 토 |
---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | |||
5 | 6 | 7 | 8 | 9 | 10 | 11 |
12 | 13 | 14 | 15 | 16 | 17 | 18 |
19 | 20 | 21 | 22 | 23 | 24 | 25 |
26 | 27 | 28 | 29 | 30 | 31 |
Tags
- 로지스틱 회귀
- 머신러닝
- 컴퓨터 그래픽스
- SGD
- 신경망
- Support Vector Machine
- 파이썬
- Unsupervised learning
- OpenGL
- CPP
- pre-trained
- logistic regression
- 인공지능
- 비용함수
- 그래픽스
- 추천 시스템
- Regularization
- recommender system
- 딥러닝
- Computer Vision
- 백준
- cs231n
- Kaggle
- petal to metal
- neural network
- C++
- SVM
- 컴퓨터 비전
- CNN
- Vision
Archives
- Today
- Total
목록손실함수 (1)
kwan's note
Cost function -비용함수/ 손실함수
출처: machine learning by andrew ng, stanford cousera lecture 수강일시: 2021.01.24 www.coursera.org/learn/machine-learning/home Coursera | Online Courses & Credentials From Top Educators. Join for Free | Coursera Learn online and earn valuable credentials from top universities like Yale, Michigan, Stanford, and leading companies like Google and IBM. Join Coursera for free and transform your career wit..
ML and AI/Machine learning - Andrew Ng
2021. 1. 24. 18:07