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udlbook
4335f935a1 Update index.html 2023-04-19 08:33:10 -04:00
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ba250e5a23 Update index.html 2023-02-17 18:26:18 -05:00
udlbook
13f3dae8f4 Last chapter added. 2023-02-06 14:31:54 -05:00
udlbook
d2b5b4f3fc v0.6.1 2023-02-02 18:39:09 -05:00
udlbook
39dded5a11 Update index.html 2023-01-31 17:19:17 -05:00
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7897eab367 Update index.html 2023-01-25 09:19:32 -05:00
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003ec5c4c9 Update index.html 2023-01-24 16:02:07 -05:00
udlbook
222fb3a66e Update to new version with fixed references. 2023-01-24 15:51:43 -05:00

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@@ -5,10 +5,12 @@ To be published by MIT Press.
<h2> Download draft PDF </h2> <h2> Download draft PDF </h2>
<a href="https://github.com/udlbook/udlbook/releases/download/v0.5.0/UnderstandingDeepLearning_23_01_23_C.pdf">Draft PDF Chapters 1-18</a><br> 2023-01-23. CC-BY-NC-ND license <a href="https://github.com/udlbook/udlbook/releases/download/v0.7.14/UnderstandingDeepLearning_17_04_23_C.pdf">Draft PDF Chapters 1-20</a><br> 2023-04-17. CC-BY-NC-ND license
<br>
<img src="https://img.shields.io/github/downloads/udlbook/udlbook/total" alt="download stats shield">
<br> <br>
<ul> <ul>
<li> Chapters 18-20 (coming soon) <li> Appendices and notebooks coming soon
<li> Report errata via <a href="https://github.com/udlbook/udlbook/issues">github</a> or contact me directly at udlbookmail@gmail.com <li> Report errata via <a href="https://github.com/udlbook/udlbook/issues">github</a> or contact me directly at udlbookmail@gmail.com
<li> Follow me on <a href="https://twitter.com/SimonPrinceAI">Twitter</a> or <a href="https://www.linkedin.com/in/simon-prince-615bb9165/">LinkedIn</a> for updates. <li> Follow me on <a href="https://twitter.com/SimonPrinceAI">Twitter</a> or <a href="https://www.linkedin.com/in/simon-prince-615bb9165/">LinkedIn</a> for updates.
</ul> </ul>
@@ -31,10 +33,11 @@ To be published by MIT Press.
<li> Chapter 14 - Unsupervised learning <li> Chapter 14 - Unsupervised learning
<li> Chapter 15 - Generative adversarial networks <li> Chapter 15 - Generative adversarial networks
<li> Chapter 16 - Normalizing flows <li> Chapter 16 - Normalizing flows
<li> Chapter 17 - Variational auto-encoders <li> Chapter 17 - Variational autoencoders
<li> Chapter 18 - Diffusion models <li> Chapter 18 - Diffusion models
<li> Chapter 19 - Deep reinforcement learning <li> Chapter 19 - Deep reinforcement learning
<li> Chapter 20 - Why does deep learning work? <li> Chapter 20 - Why does deep learning work?
<li> Chapter 21 - Deep learning and ethics
</ul> </ul>
<br> <br>
@@ -67,8 +70,9 @@ Citation:
<li> Chapter 14 - Unsupervised learning: Slides / Notebooks / PDF Figures / Powerpoint Figures <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 15 - Generative adversarial networks: Slides / Notebooks / PDF Figures / PowerPoint Figures
<li> Chapter 16 - Normalizing flows: 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 18 - Diffusion models: Slides / Notebooks / PDF Figures / PowerPoint Figures
<li> Chapter 19 - Deep reinforcement learning: 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 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> </ul>