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AndrewNG_DL

jhbale11

앤드류 응 교수님의 Coursera Deep Learning 강의를 듣고 연습해본 결과입니다.

Exercise of AndrewNg's Deep Learning Specialization on Coursera

1. Numpy로 로지스틱 회귀 모델 만들기

2. Numpy로 Hidden States 추가하기

3. Deep Neural Network 구현하기

4. 신경망 Regularization 추가하기

5. 초기 가중치 설정 (Initialization)

6. 그레디언트 검증(Gradient Checking)

7. 최적화 기법(Optimization Methods)

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