DeepLearning.AI
심층 신경망 개선: 하이퍼파라미터 튜닝, 정규화 및 최적화
DeepLearning.AI

심층 신경망 개선: 하이퍼파라미터 튜닝, 정규화 및 최적화

Andrew Ng

Instructor: Andrew Ng

Top Instructor

Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

25 hours to complete
3 weeks at 8 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

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

Details to know

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Assessments

3 assignments

Taught in Korean

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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 assignment3 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 assignment1 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 assignment1 programming assignment1 app item

Instructor

Andrew Ng

Top Instructor

DeepLearning.AI
45 Courses7,775,254 learners

Offered by

DeepLearning.AI

Recommended if you're interested in Machine Learning

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