Week 1 - Attention Models-Introduction
About this course
Welcome to this course!
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Week 1 - Attention Models-Attention Models
Attention Models: Introduction
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Applied Attention Models: Retain
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Applied Attention Models: Heart Failure Example
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Slides: Attention Models
Week 1 - Attention Models-Textbook
Textbook Chapter 9 (Attention)
Week 2 - Graph Neural Networks-Graph Neural Networks - Basics
GNN: Key Components
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GNN: General Design
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Week 2 - Graph Neural Networks-Deep Learning on Graphs
GCN
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MPNN
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GAT
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Slides: GNN
Week 2 - Graph Neural Networks-Textbook
Textbook Chapter 10 (Graph Neural Networks)
Week 3 - Memory Networks-Memory Networks: Overview
Memory Networks
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End-to-end Memory Networks
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Week 3 - Memory Networks-Transformer
Transformer: Introduction
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Self Attention: Part 1
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Self Attention: Part 2
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Week 3 - Memory Networks-Applications
Doctor2Vec
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GAMENet
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G-BERT
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Slides: Memory Networks
Week 3 - Memory Networks-Textbook
Textbook Chapter 11 (Memory Networks)
Week 4 - Generative Models-Generative Models
Generative Adversarial Network (GAN) - Method
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Generative Adversarial Network (GAN) - Application
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Variational Autoencoder (VAE) - Method
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Variational Autoencoder (VAE) - Application
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Slides: Generative Models
Week 4 - Generative Models-Textbook
Textbook Chapter 12 (Generative Models)