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 |
Tags
- 백준
- CNNarchitecture
- Linear algebra
- pycharmerror
- 선대
- CS231nSVM
- professor strang
- gpumemory
- 아이폰원스토어
- Algorithm
- 선형대수학
- CS231nAssignments
- 맥북원스토어
- MIT
- CNN구조정리
- RegionProposalNetworks
- CS231nAssignment1
- CS231n
- BOJ
- monoculardepthestimation
- MacOS
- Gilbert Strang
- ㅐㅕ세ㅕㅅ
- ios원스토어
- CS231ntwolayerneuralnet
- 맥실리콘
- BAEKJOON
- 백준알고리즘
- arm칩에안드로이드
- adversarialattackonmonoculardepthestimation
Archives
- Today
- Total
목록SC231nAssignment1 (1)
개발로 하는 개발

- KNN ( K nearest neighbor) hyperparameter : k, L1 or L2 (distance calculating formula) Basically, you are trying to figure out which dot belongs to what region. And you are determining this by calculating the distance between the test point and train points. You get the value of k nearest points, and decide whichever the majority is. There are two ways to calculate this. L1 and L2. in the assig..
Study
2023. 5. 3. 14:57