Orientation - 딥러닝을 위한 파이썬 레벨2
딥러닝을 위한 파이썬 레벨2
    • 01
      Introduction to the Course
    • Orientation
      슬랙(Slack) 커뮤니티 가입 신청
      강의자료 다운로드
    • 02
      Exercise Group.1: Jupyter Notebook 활용하기
    • Exercise 1~3
    • 03
      Exercise Group.2: For Loop 확장하기
    • Exercise 4~6
    • 04
      Exercise Group.3: Tuple and zip
    • Exercise 4~6 Review
      Exercise 7~10
    • 05
      Exercise Group.4: Tuple Unpacking & zip 연습
    • Exercise 7~10 Review
      Exercise 11~15
    • 06
      Exercise Group.5: For Loop + enumerate
    • Exercise 11~15 Review
      Exercise 16~19
    • 07
      Exercise Group.6: zip + enumerate
    • Exercise 16~19 Review
      Exercise 20~22
    • 08
      Exercise Group.7: (Mini-project) Top-5 Accuracy
    • Exercise 20~22 Review
      Exercise 23~24
      Project Lecture
    • 09
      Exercise Group.8: String Formatting
    • Exercise 23~25 Review
      Exercise 26~32
    • 10
      Exercise Group.9: Dictionary
    • Exercise 26~32 Review
      Exercise 33~38
    • 11
      Exercise Group.10: Dictionary Looping and Meta Data
    • Exercise 33~38 Review
      Exercise 39~43
    • 12
      Exercise Group.11: (Mini-project) Mean Subtraction & Normalization
    • Exercise 39~43 Review
      Project Overview
      Project Lecture
    • 13
      Exercise Group.12: List Comprehension
    • Exercise 44 Review
      Exercise 45~49
    • 14
      Exercise Group.13: Dictionary Comprehension
    • Exercise 45~49 Review
      Exercise 50~53
    • 15
      Exercise Group.14: Importing Modules
    • Exercise 50~53 Review
      Exercise 54~58
    • 16
      Exercise Group.15: 초월함수의 그래프
    • Exercise 54~58 Review
      Exercise 59~65
    • 17
      Exercise Group.16: Average / Max Pooling
    • Exercise 59~65 Review
      후반부 강의 안내사항
      Exercise 66~69
    • 18
      Exercise Group.17: Correlation / Convolution
    • Exercise 66~69 Review
      Exercise 70~71
    • 19
      Exercise Group.18: AveragePooling2D / MaxPooling2D
    • Exercise 70~71 Review
      Exercise 72~73
    • 20
      Exercise Group.19: Corr2D / Conv2D
    • Exercise 72~73 Review
      Exercise 74~75
    • 21
      Exercise Group.20: (Mini-project) Edge Detection
    • Exercise 74~75 Review
      Project Overview
      Project Lecture
    • 22
      Exercise Group.21: Zero-padding
    • Exercise 76 Review
      Exercise 77~79
    • 23
      Exercise Group.22: 2D Zero-padding
    • Exercise 77~79 Review
      Exercise 80~82
    • 24
      Exercise Group.23: Strides
    • Exercise 80~82 Review
      Exercise 83~86
    • 25
      Exercise Group.24: 2D Strides
    • Exercise 83~86 Review
      Exercise 87~89
    • 26
      Exercise Group.25: (Mini-project) Convolutional Layer
    • Exercise 87~80 Review
      Project Overview
      Project Lecture
    • 27
      Exercise Group.26: (Mini-project) K-Nearest Neighbor
    • Project Overview
      Project Lecture
    • 28
      Exercise Group.27: (Mini-project) K-means Clustering
    • Project Overview
      Project Leture
    • 29
      Outro to the Course
    • Outro to the Course
    Orientation
    01 Introduction to the Course
    Orientation


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