About this Course

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Coursera Labs
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Course 5 of 5 in the
Intermediate Level
  • Intermediate Python skills: basic programming, understanding of for loops, if/else statements, data structures

  • A basic grasp of linear algebra & ML

Approx. 38 hours to complete
English

Skills you will gain

  • Natural Language Processing
  • Long Short Term Memory (LSTM)
  • Gated Recurrent Unit (GRU)
  • Recurrent Neural Network
  • Attention Models
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.
Coursera Labs
Includes hands on learning projects.
Learn more about Coursera Labs External Link
Course 5 of 5 in the
Intermediate Level
  • Intermediate Python skills: basic programming, understanding of for loops, if/else statements, data structures

  • A basic grasp of linear algebra & ML

Approx. 38 hours to complete
English

Offered by

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DeepLearning.AI

Syllabus - What you will learn from this course

Content RatingThumbs Up94%(39,741 ratings)
Week
1
Week 1
12 hours to complete

Recurrent Neural Networks

12 hours to complete
12 videos (Total 112 min), 4 readings, 6 quizzes
Week
2
Week 2
9 hours to complete

Natural Language Processing & Word Embeddings

9 hours to complete
10 videos (Total 99 min), 1 reading, 4 quizzes
Week
3
Week 3
9 hours to complete

Sequence Models & Attention Mechanism

9 hours to complete
10 videos (Total 98 min), 3 readings, 4 quizzes
Week
4
Week 4
8 hours to complete

Transformer Network

8 hours to complete
5 videos (Total 42 min), 4 readings, 3 quizzes

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About the Deep Learning Specialization

Deep Learning

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