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stydyml's Introduction

StydyML

2022 머신러닝 학습 리포지토리 혼자 공부하는 머신러닝+딥러닝 베이스로 머신러닝 학습

Day 1

  • 머신러닝 개요
    • 강/약인공지능
    • 사이킷런, 텐서플로,파이토치 언습
  • 학습환경 설정
  • 머신러닝 맛보기
  • 데이터 다루기
    • 훈련세트 / 테스트세트
    • 데이터전처리

Day 2

  • 데이터 다루기
    • 데이터 전처리 계속
  • 회귀 알고리즘
    • k-최근접 이웃 알고리즘
    • 선형 회귀
    • 기타

Day 3

  • 특성 공학
    • 다중회귀
    • 릿지 회귀
    • 라쏘 회귀
  • 로지스틱 회귀 -시그모이드 함수

Day 4

  • 인공신경망
    • 텐서플로(케라스)
  • 심층신경망
    • 렐루 함수

Day 5

  • 신경망 모델
    • 손실곡선
    • 드롭아웃
    • 콜백
  • CNN 합성곱

stydyml's People

Contributors

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Watchers

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