Recurrent Neural Networks-Recurrent Neural Networks
Why Sequence Models?
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Notation
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Recurrent Neural Network Model
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Backpropagation Through Time
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Connect with your Mentors and Fellow Learners on Discourse!
Different Types of RNNs
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Language Model and Sequence Generation
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Sampling Novel Sequences
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Vanishing Gradients with RNNs
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Gated Recurrent Unit (GRU)
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Gated Recurrent Unit (GRU) *CORRECTION*
Long Short Term Memory (LSTM)
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Long Short Term Memory (LSTM) *CORRECTION*
Bidirectional RNN
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Deep RNNs
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Recurrent Neural Networks-Lecture Notes (Optional)
Lectures in PDF
Recurrent Neural Networks-Programming Assignments
How to Download your Notebook
How to Refresh your Workspace
Natural Language Processing & Word Embeddings-Introduction to Word Embeddings
Word Representation
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Using Word Embeddings
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Properties of Word Embeddings
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Embedding Matrix
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Natural Language Processing & Word Embeddings-Learning Word Embeddings: Word2vec & GloVe
Learning Word Embeddings
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Word2Vec
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Negative Sampling
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GloVe Word Vectors
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GloVe Word Vectors *CORRECTION*
Natural Language Processing & Word Embeddings-Applications Using Word Embeddings
Sentiment Classification
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Debiasing Word Embeddings
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Natural Language Processing & Word Embeddings-Lecture Notes (Optional)
Lectures in PDF
Sequence Models & Attention Mechanism-Various Sequence To Sequence Architectures
Basic Models
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Picking the Most Likely Sentence
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Beam Search
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Refinements to Beam Search
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Error Analysis in Beam Search
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Bleu Score (Optional)
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Bleu Score *CORRECTION*
Attention Model Intuition
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Attention Model
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Corrections
Sequence Models & Attention Mechanism-Speech Recognition - Audio Data
Speech Recognition
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Trigger Word Detection
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Sequence Models & Attention Mechanism-Lecture Notes (Optional)
Lectures in PDF
Sequence Models & Attention Mechanism-Programming Assignments
Instructions If You Are Unable to Open Your Notebook
Transformer Network-Transformers
Transformer Network Intuition
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Self-Attention
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Multi-Head Attention
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Transformer Network
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Transformer Network-Lecture Notes (Optional)
Lectures in PDF
Transformer Network-Transformer Applications - Ungraded Labs
Transformers using Trax Library
Transformer Network-Conclusion
Conclusion and Thank You!
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Transformer Network-References & Acknowledgments
References
Acknowledgments
(Optional) Opportunity to Mentor Other Learners