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Deep Learning Specialization
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Course 5
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Module 3
Syllabus
Courses
Course Syllabus
Sequence Models
Module 1: Recurrent Neural Networks
Recurrent Neural Networks
Lecture Notes (Optional)
Quiz
Programming Assignments
Module 2: Natural Language Processing & Word Embeddings
Introduction to Word Embeddings
Learning Word Embeddings: Word2vec & GloVe
Applications Using Word Embeddings
Lecture Notes (Optional)
Quiz
Programming Assignments
Module 3: Sequence Models & Attention Mechanism
Various Sequence To Sequence Architectures
Basic Models
Video
・
6m
Picking the Most Likely Sentence
Video
・
8m
Beam Search
Video
・
11m
Refinements to Beam Search
Video
・
10m
Error Analysis in Beam Search
Video
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9m
Bleu Score
Video
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15m
Attention Model Intuition
Video
・
9m
Clarifications about Upcoming Attention Model Video
Reading
・
10m
Attention Model
Video
・
12m
Speech Recognition - Audio Data
Lecture Notes (Optional)
Quiz
Programming Assignments
Module 4: Transformer Network
Transformers
Lecture Notes (Optional)
Quiz
End of access to Lab Notebooks
Programming Assignment
Transformer Applications - Ungraded Labs
Conclusion
References & Acknowledgments
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Deep Learning Specialization
Intermediate
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Topics
Computer Vision
Deep Learning
NLP
Supervised Learning
Transformers
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DeepLearning.AI
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