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deeplearning-research's Introduction

Deep Learning Research

ENVIRONMENTS

  • Ubuntu 16.04 LTS or Window 10
  • Python 3.6
  • Jupyter(with Google colab)

PYTHON LIBRARY

  • matplotlib==3.1.1
  • numpy==1.16.4
  • Pillow==5.4.1
  • scikit-learn==0.20.2
  • tqdm==4.29.0

DIRECTORY STRUCTURE

|--- [Project Directory]
  |--- <example files>
|--- [images]
|--- [equation]
|--- [python]
|--- [etc]

DIRECTORY DETAILS

  • example files : 설명 및 예제 구현
  • images : 설명 및 예제 구현시 사용된 image 파일
  • equation : 설명 및 예제 구현시 사용된 수식 image 파일
  • python : jupyter로 구현된 내용 python(*.py) convert한 파일 저장
  • etc : research 과정에서 필요한 기타 내용들 저장

EXAMPLE DETAILS

  • activation_function.ipynb : 딥러닝 학습시 사용되는 Activation 함수(Sigmoid, Tanh, Relu, LeakyRelu, ELU) 설명 및 구현
  • soft_max.ipynb : softmax 함수 설명 및 구현
  • vanishing_gradient.ipynb : vanishing gradient 설명 및 예제

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