본문 바로가기

아롱이 탐험대

검색하기
아롱이 탐험대
프로필사진 ys_cs17

  • All (94)
    • study (67)
      • Machine Learning (12)
      • cs231n (11)
      • paper reviews (24)
      • linear algebra (3)
      • IME654 (17)
    • Project (10)
      • pytorch (8)
      • Libtorch (2)
    • CS (14)
      • Computer network (12)
      • Computer graphics (2)
    • dev_tools (3)
    • About me (0)
Guestbook
반응형
Notice
Recent Posts
Recent Comments
Link
  • github
«   2026/04   »
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
  • self-supervision
  • 데이터 전처리
  • Deep Learning
  • 서포트벡터머신이란
  • computervision
  • DeepLearning
  • fast r-cnn
  • cs231n lecture5
  • yolov3
  • 논문분석
  • yolo
  • TCP
  • Computer Vision
  • SVM margin
  • pytorch c++
  • SVM hard margin
  • pytorch project
  • cnn 역사
  • pytorch
  • libtorch
  • Object Detection
  • CS231n
  • svdd
  • CNN
  • Faster R-CNN
  • SVM 이란
  • EfficientNet
  • RCNN
  • support vector machine 리뷰
  • darknet
more
Archives
Today
Total
관리 메뉴
  • 글쓰기
  • 방명록
  • RSS
  • 관리

목록nbc 구현 (1)

아롱이 탐험대

NBC (Naive Bayes Classification 구현 (only numpy)

CODE (1) main.py import numpy as np import warnings from dataloader import DataLoader from model import get_GaussianNBC, predict, get_ACC warnings.filterwarnings("ignore", category=RuntimeWarning) if __name__ == "__main__": train_path = './data/train/' test_path = './data/test/' train_setting = DataLoader(train_path, 'train') # 60000 * 28 * 28 * 3 test_setting = DataLoader(test_path, 'test') # 1..

study/Machine Learning 2022. 7. 6. 16:28
Prev 1 Next

Blog is powered by AXZ / Designed by Tistory

티스토리툴바