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udlbook
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@@ -5,7 +5,7 @@ To be published by MIT Press.
<h2> Download draft PDF </h2>
<a href="https://github.com/udlbook/udlbook/releases/download/v0.7.9/UnderstandingDeepLearning_21_03_23_C.pdf">Draft PDF Chapters 1-20</a><br> 2023-03-21. CC-BY-NC-ND license
<a href="https://github.com/udlbook/udlbook/releases/download/v1.0.4/UnderstandingDeepLearning_08_05_23_C.pdf">Draft PDF Chapters 1-21</a><br> 2023-05-08. CC-BY-NC-ND license
<br>
<img src="https://img.shields.io/github/downloads/udlbook/udlbook/total" alt="download stats shield">
<br>
@@ -33,10 +33,11 @@ To be published by MIT Press.
<li> Chapter 14 - Unsupervised learning
<li> Chapter 15 - Generative adversarial networks
<li> Chapter 16 - Normalizing flows
<li> Chapter 17 - Variational auto-encoders
<li> Chapter 17 - Variational autoencoders
<li> Chapter 18 - Diffusion models
<li> Chapter 19 - Deep reinforcement learning
<li> Chapter 20 - Why does deep learning work?
<li> Chapter 21 - Deep learning and ethics
</ul>
<br>
@@ -69,8 +70,9 @@ Citation:
<li> Chapter 14 - Unsupervised learning: 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 - Variational auto-encoders: Slides / Notebooks / PDF Figures / PowerPoint Figures
<li> Chapter 17 - Variational autoencoders: 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
<li> Chapter 21 - Deep learning and ethics: Slides / Notebooks / PDF Figures / PowerPoint Figures
</ul>