딥 러닝 전문화의 다섯 번째 과정에서는 시퀀스 모델과 음성 인식, 음악 합성, 챗봇, 기계 번역, 자연어 처리(NLP) 등과 같은 흥미로운 애플리케이션에 익숙해질 것입니다.
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시퀀스 모델
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. 40 hours to complete
Korean
Skills you will gain
- Recurrent Neural Network
- Natural Language
- Word Embedding
- Gradient
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. 40 hours to complete
Korean
Offered by
Syllabus - What you will learn from this course
14 hours to complete
순환 신경망
14 hours to complete
12 videos (Total 112 min), 4 readings, 6 quizzes
9 hours to complete
자연어 처리 및 단어 임베딩
9 hours to complete
10 videos (Total 99 min), 1 reading, 4 quizzes
9 hours to complete
시퀀스 모델 및 주의 메커니즘
9 hours to complete
10 videos (Total 98 min), 3 readings, 4 quizzes
9 hours to complete
트랜스포머 네트워크
9 hours to complete
5 videos (Total 42 min), 4 readings, 3 quizzes
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