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Fixed chapter order
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udlbook authored Dec 15, 2022
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Expand Up @@ -29,9 +29,9 @@ <h2>Table of contents</h2>
<li> Chapter 12 - Transformers
<li> Chapter 13 - Graph neural networks
<li> Chapter 14 - Unsupervised learning
<li> Chapter 15 - Variational auto-encoders
<li> Chapter 15 - Generative adversarial networks
<li> Chapter 16 - Normalizing flows
<li> Chapter 17 - Generative adversarial networks
<li> Chapter 17 - Variational auto-encoders
<li> Chapter 18 - Diffusion models
<li> Chapter 19 - Deep reinforcement learning
<li> Chapter 20 - Why does deep learning work?
Expand Down Expand Up @@ -65,9 +65,9 @@ <h2>Resources for instructors </h2>
<li> Chapter 12 - Transformers: Slides / Notebooks / <a href="https://github.com/udlbook/udlbook/raw/main/PDFFigures/UDLChap12PDF.zip">PDF Figures</a> / <a href="https://github.com/udlbook/udlbook/raw/main/Slides/UDLChap12.pptx">PowerPoint Figures</a>
<li> Chapter 13 - Graph neural networks: Slides / Notebooks / <a href="https://github.com/udlbook/udlbook/raw/main/PDFFigures/UDLChap13PDF.zip">PDF Figures</a> / <a href="https://github.com/udlbook/udlbook/raw/main/Slides/UDLChap13.pptx">PowerPoint Figures</a>
<li> Chapter 14 - Unsupervised learning: Slides / Notebooks / PDF Figures / Powerpoint Figures
<li> Chapter 15 - Variational auto-encoders: Slides / Notebooks / PDF Figures / PowerPoint Figures
<li> Chapter 15 - Generative adversarial networks: Slides / Notebooks / PDF Figures / PowerPoint Figures
<li> Chapter 16 - Normalizing flows: Slides / Notebooks / PDF Figures / PowerPoint Figures
<li> Chapter 17 - Generative adversarial networks: Slides / Notebooks / PDF Figures / PowerPoint Figures
<li> Chapter 17 - Variational auto-encoders: Slides / Notebooks / PDF Figures / PowerPoint Figures
<li> Chapter 18 - Diffusion models: Slides / Notebooks / PDF Figures / PowerPoint Figures
<li> Chapter 19 - Deep reinforcement learning: Slides / Notebooks / PDF Figures / PowerPoint Figures
<li> Chapter 20 - Why does deep learning work?: Slides / Notebooks / PDF Figures / PowerPoint Figures
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