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Deep Learning Specialization
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Course 5
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Module 1
Syllabus
Courses
Course Syllabus
Sequence Models
Module 1: Recurrent Neural Networks
Recurrent Neural Networks
Why Sequence Models?
Video
・
2m
Notation
Video
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8m
Recurrent Neural Network Model
Video
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16m
Backpropagation Through Time
Video
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6m
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Reading
・
2m
Different Types of RNNs
Video
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9m
Language Model and Sequence Generation
Video
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12m
Sampling Novel Sequences
Video
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8m
Vanishing Gradients with RNNs
Video
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6m
Clarifications about Upcoming Gated Recurrent Unit (GRU) Video
Reading
・
1m
Gated Recurrent Unit (GRU)
Video
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16m
Clarifications about Upcoming Long Short Term Memory (LSTM) Video
Reading
・
1m
Long Short Term Memory (LSTM)
Video
・
9m
Bidirectional RNN
Video
・
8m
Deep RNNs
Video
・
5m
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
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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