Exercise 1~10 - 딥러닝을 위한 파이썬 레벨1
딥러닝을 위한 파이썬 레벨1
    • 01
      Exercise Group.1: 강의 소개 / 변수와 연산자 / 평균과 Mean Subtraction
    • 오리엔테이션
      슬랙 (Slack) 커뮤니티 가입 신청
      개발환경 세팅 / 강의자료 다운로드
      Exercise 1~10
    • 02
      Exercise Group.2: 분산과 표준편차 / Standardization
    • Exercise 1~10 Review
      Exercise 11~13
    • 03
      Exercise Group.3 벡터 연산
    • Exercise 11~13 Review
      Exercise 14~17
    • 04
      Exercise Group.4: Euclidean Distance, Mean Squared Error
    • Exercise 14~17 Review
      Exercise 18~21
    • 05
      Exercise Group.5: List / Mean Subtraction / Standardization
    • Exercise 18~21 Review
      Python and IDEs
      Exercise 22~27
    • 06
      Exercise Group.6: List / 벡터 연산 / Euclidean Distance / Mean Squared Error
    • Exercise 22~27 Review
      Exercise 28~35
    • 07
      Exercise Group.7: For loop의 기본적인 사용법
    • Exercise 28~35 Review
      Exercise 36~44
    • 08
      Exercise Group.8: For loop / 평균과 Mean Subtraction
    • Exercise 36~44 Review
      Exercise 45~48
    • 09
      Exercise Group.9: For loop / 분산과 표준편차 / Standardization
    • Exercise 45~48 Review
      Exercise 49~52
    • 10
      Exercise Group.10: For loop / 벡터 연산 / Euclidean Distance / Mean Squared Error
    • Exercise 49~52 Review
      Exercise 53~59
    • 11
      Exercise Group.11: If문의 기본적인 사용법
    • Exercise 53~59 Review
      Exercise 60~67
    • 12
      Exercise Group.12: If문 연습 / 최댓값, 최솟값 구하기
    • Exercise 60~67 Review
      Exercise 68~72
    • 13
      Exercise Group.13: 최댓값, 최솟값 구하기 / Normalization / 최댓값, 최솟값 위치 구하기
    • Exercise 68~72 Review
      Exercise 73~75
    • 14
      Exercise Group.14: (미니 프로젝트) Sorting 구현하기
    • Exercise 73~75 Review
      Exercise76
    • 15
      Exercise Group.15: Accuracy / Confusion Vector / Histogram / 절댓값 구하기 / Manhattan Distance
    • Exercise 76 Review
      Exercise 77~81
    • 16
      Exercise Group.16: 2차원 Data & Nested List / 학생별, 과목별 평균점수 구하기
    • Exercise 77~81 Review
      Exercise 82~85
    • 17
      Exercise Group.17: 2차원 Data에 대한 Mean Subtraction, Standardization
    • Exercise 82~85 Review
      Exercise 86~88
    • 18
      Exercise Group.18: 2차원 Data에 대한 벡터 연산
    • Exercise 86~88 Review
      Exercise 89~92
    • 19
      Exercise Group.19: 2차원 Data에 대한 Euclidean Distance / 과목별 최고점 ,최우수 학생 구하기 / One-hot Encoding
    • Exercise 89~92 Review
      Exercise 93~96
    • 20
      Exercise Group.20: 2차원 데이터를 이용한 Matrix Operations
    • Exercise 93~96 Review
      Exercise 97~100
    • 21
      Exercise Group.21: Outro
    • Exercise 97~100 Review
      Outro
    Exercise 1~10
    01 Exercise Group.1: 강의 소개 / 변수와 연산자 / 평균과 Mean Subtraction
    Exercise 1~10


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