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<h1>Understanding Deep Learning</h1> <h1>Understanding Deep Learning</h1>
by Simon J.D. Prince by Simon J.D. Prince
<br> <br>
To be published by MIT Press. To be published by MIT Press.
<h2>Key links</h2> <h2>Key links</h2>
<ul> <ul>
<li> <a href="https://github.com/udlbook/udlbook/releases/download/v0.2.0/UnderstandingDeepLearning_01_10_22_C.pdf">Draft PDF Chapters 2-13</a> 2022-10-01. CC-BY-NC-ND license <li> <a href="https://github.com/udlbook/udlbook/releases/download/v0.2.1/UnderstandingDeepLearning_07_10_22_C.pdf">Draft PDF Chapters 2-13</a> 2022-10-07. CC-BY-NC-ND license
<li> Draft PDF Chapters 1,14-19 (coming Jan 2nd, 2023) <li> Draft PDF Chapters 1,14-19 (coming Jan 2nd, 2023)
<li> Jupyter notebooks (coming Spring 2023) <li> Jupyter notebooks (coming Spring 2023)
<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>
<h2>Table of contents</h2> <h2>Table of contents</h2>
<ul> <ul>
<li> Chapter 1 - Introduction <li> Chapter 1 - Introduction
<li> Chapter 2 - Supervised learning <a href="https://github.com/udlbook/udlbook/raw/main/PDFFigures/UDLChap2PDF.zip">PDF Figures</a> / <a href="https://github.com/udlbook/udlbook/raw/main/Slides/UDLChap2.pptx">PowerPoint Figures</a> <li> Chapter 2 - Supervised learning <a href="https://github.com/udlbook/udlbook/raw/main/PDFFigures/UDLChap2PDF.zip">PDF Figures</a> / <a href="https://github.com/udlbook/udlbook/raw/main/Slides/UDLChap2.pptx">PowerPoint Figures</a>
<li> Chapter 3 - Shallow neural networks <a href="https://github.com/udlbook/udlbook/raw/main/PDFFigures/UDLChap3PDF.zip">PDF Figures</a> / <a href="https://github.com/udlbook/udlbook/raw/main/Slides/UDLChap3.pptx">PowerPoint Figures</a> <li> Chapter 3 - Shallow neural networks <a href="https://github.com/udlbook/udlbook/raw/main/PDFFigures/UDLChap3PDF.zip">PDF Figures</a> / <a href="https://github.com/udlbook/udlbook/raw/main/Slides/UDLChap3.pptx">PowerPoint Figures</a>
<li> Chapter 4 - Deep neural networks <a href="https://github.com/udlbook/udlbook/raw/main/PDFFigures/UDLChap4PDF.zip">PDF Figures</a> / <a href="https://github.com/udlbook/udlbook/raw/main/Slides/UDLChap4.pptx">PowerPoint Figures</a> <li> Chapter 4 - Deep neural networks <a href="https://github.com/udlbook/udlbook/raw/main/PDFFigures/UDLChap4PDF.zip">PDF Figures</a> / <a href="https://github.com/udlbook/udlbook/raw/main/Slides/UDLChap4.pptx">PowerPoint Figures</a>
<li> Chapter 5 - Loss functions <a href="https://github.com/udlbook/udlbook/raw/main/PDFFigures/UDLChap5PDF.zip">PDF Figures</a> / <a href="https://github.com/udlbook/udlbook/raw/main/Slides/UDLChap5.pptx">PowerPoint Figures</a> <li> Chapter 5 - Loss functions <a href="https://github.com/udlbook/udlbook/raw/main/PDFFigures/UDLChap5PDF.zip">PDF Figures</a> / <a href="https://github.com/udlbook/udlbook/raw/main/Slides/UDLChap5.pptx">PowerPoint Figures</a>
<li> Chapter 6 - Training models <a href="https://github.com/udlbook/udlbook/raw/main/PDFFigures/UDLChap6PDF.zip">PDF Figures</a> / <a href="https://github.com/udlbook/udlbook/raw/main/Slides/UDLChap6.pptx">PowerPoint Figures</a> <li> Chapter 6 - Training models <a href="https://github.com/udlbook/udlbook/raw/main/PDFFigures/UDLChap6PDF.zip">PDF Figures</a> / <a href="https://github.com/udlbook/udlbook/raw/main/Slides/UDLChap6.pptx">PowerPoint Figures</a>
<li> Chapter 7 - Gradients and initialization <a href="https://github.com/udlbook/udlbook/raw/main/PDFFigures/UDLChap7PDF.zip">PDF Figures</a> / <a href="https://github.com/udlbook/udlbook/raw/main/Slides/UDLChap7.pptx">PowerPoint Figures</a> <li> Chapter 7 - Gradients and initialization <a href="https://github.com/udlbook/udlbook/raw/main/PDFFigures/UDLChap7PDF.zip">PDF Figures</a> / <a href="https://github.com/udlbook/udlbook/raw/main/Slides/UDLChap7.pptx">PowerPoint Figures</a>
<li> Chapter 8 - Measuring performance <a href="https://github.com/udlbook/udlbook/raw/main/PDFFigures/UDLChap8PDF.zip">PDF Figures</a> / <a href="https://github.com/udlbook/udlbook/raw/main/Slides/UDLChap8.pptx">PowerPoint Figures</a> <li> Chapter 8 - Measuring performance <a href="https://github.com/udlbook/udlbook/raw/main/PDFFigures/UDLChap8PDF.zip">PDF Figures</a> / <a href="https://github.com/udlbook/udlbook/raw/main/Slides/UDLChap8.pptx">PowerPoint Figures</a>
<li> Chapter 9 - Regularization <a href="https://github.com/udlbook/udlbook/raw/main/PDFFigures/UDLChap9PDF.zip">PDF Figures</a> / <a href="https://github.com/udlbook/udlbook/raw/main/Slides/UDLChap9.pptx">PowerPoint Figures</a> <li> Chapter 9 - Regularization <a href="https://github.com/udlbook/udlbook/raw/main/PDFFigures/UDLChap9PDF.zip">PDF Figures</a> / <a href="https://github.com/udlbook/udlbook/raw/main/Slides/UDLChap9.pptx">PowerPoint Figures</a>
<li> Chapter 10 - Convolutional nets <a href="https://github.com/udlbook/udlbook/raw/main/PDFFigures/UDLChap10PDF.zip">PDF Figures</a> / <a href="https://github.com/udlbook/udlbook/raw/main/Slides/UDLChap10.pptx">PowerPoint Figures</a> <li> Chapter 10 - Convolutional nets <a href="https://github.com/udlbook/udlbook/raw/main/PDFFigures/UDLChap10PDF.zip">PDF Figures</a> / <a href="https://github.com/udlbook/udlbook/raw/main/Slides/UDLChap10.pptx">PowerPoint Figures</a>
<li> Chapter 11 - Residual networks <a href="https://github.com/udlbook/udlbook/raw/main/PDFFigures/UDLChap11PDF.zip">PDF Figures</a> / <a href="https://github.com/udlbook/udlbook/raw/main/Slides/UDLChap11.pptx">PowerPoint Figures</a> <li> Chapter 11 - Residual networks <a href="https://github.com/udlbook/udlbook/raw/main/PDFFigures/UDLChap11PDF.zip">PDF Figures</a> / <a href="https://github.com/udlbook/udlbook/raw/main/Slides/UDLChap11.pptx">PowerPoint Figures</a>
<li> Chapter 12 - Transformers <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 12 - Transformers <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 <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 13 - Graph neural networks <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 - Variational auto-encoders <li> Chapter 14 - Variational auto-encoders
<li> Chapter 15 - Normalizing flows <li> Chapter 15 - Normalizing flows
<li> Chapter 16 - Generative adversarial networks <li> Chapter 16 - Generative adversarial networks
<li> Chapter 17 - Diffusion models <li> Chapter 17 - Diffusion models
<li> Chapter 18 - Deep reinforcement learning <li> Chapter 18 - Deep reinforcement learning
<li> Chapter 19 - Why does deep learning work? <li> Chapter 19 - Why does deep learning work?
</ul> </ul>
<br> <br>
Citation: Citation:
<pre><code> <pre><code>
@book{prince2022understanding, @book{prince2022understanding,
author = "Simon J.D. Prince", author = "Simon J.D. Prince",
title = "Understanding Deep Learning", title = "Understanding Deep Learning",
publisher = "MIT Press", publisher = "MIT Press",
year = 2022, year = 2022,
url = "https://udlbook.github.io/udlbook/" url = "https://udlbook.github.io/udlbook/"
} }
</code></pre> </code></pre>