심층 신경망 개선: 하이퍼파라미터 튜닝, 정규화 및 최적화

심층 신경망 개선: 하이퍼파라미터 튜닝, 정규화 및 최적화

Taught in Korean


Gain insight into a topic and learn the fundamentals

Andrew Ng

Instructor: Andrew Ng

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Intermediate level

Recommended experience

25 hours to complete
3 weeks at 8 hours a week
Flexible schedule
Learn at your own pace

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There are 3 modules in this course

다양한 초기화 방법을 사용하여 살펴보고 실험하고 L2 정규화 및 드롭아웃을 적용하여 모델 과적합을 방지한 다음 기울기 검사를 적용하여 사기 탐지 모델의 오류를 식별합니다.

What's included

15 videos4 readings1 quiz3 programming assignments2 app items

고급 최적화, 랜덤 미니배칭 및 학습률 감소 스케줄링을 추가하여 모델 속도를 높여 딥 러닝 도구 상자를 개발하십시오.

What's included

11 videos2 readings1 quiz1 programming assignment1 app item

신경망을 빠르고 쉽게 구축한 다음 TensorFlow 데이터세트에서 신경망을 훈련할 수 있는 딥 러닝 프레임워크인 TensorFlow를 살펴보십시오.

What's included

11 videos5 readings1 quiz1 programming assignment1 app item


Andrew Ng

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