딥 러닝 전문화 두 번째 과정에서는 딥 러닝 블랙박스를 열어 성과를 이끌어내고 체계적으로 좋은 결과를 만들어내는 과정을 이해하게 됩니다.
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심층 신경망 개선: 하이퍼파라미터 튜닝, 정규화 및 최적화
DeepLearning.AIAbout this Course
Flexible deadlines
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Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Intermediate Level
Intermediate Python skills: basic programming, understanding of for loops, if/else statements, data structures
A basic grasp of linear algebra & ML
Approx. 25 hours to complete
Korean
Skills you will gain
- Hyperparameter
- Calibration
- Artificial Neural Network
- Mathematical Optimization
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Intermediate Level
Intermediate Python skills: basic programming, understanding of for loops, if/else statements, data structures
A basic grasp of linear algebra & ML
Approx. 25 hours to complete
Korean
Offered by
Syllabus - What you will learn from this course
14 hours to complete
딥 러닝의 실용적인 측면
14 hours to complete
15 videos (Total 131 min), 4 readings, 6 quizzes
6 hours to complete
최적화 알고리즘
6 hours to complete
11 videos (Total 92 min), 2 readings, 3 quizzes
6 hours to complete
하이퍼파라미터 튜닝, 배치 정규화 및 프로그래밍 프레임워크
6 hours to complete
11 videos (Total 103 min), 5 readings, 3 quizzes
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