From bde68ed94eb5a920a44478c80061e1d3b784bffc Mon Sep 17 00:00:00 2001
From: udlbook <110402648+udlbook@users.noreply.github.com>
Date: Thu, 15 Dec 2022 11:02:48 +0000
Subject: [PATCH] Update index.html

Fixed chapter order
---
 index.html | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/index.html b/index.html
index 1922dfd..a59086a 100644
--- a/index.html
+++ b/index.html
@@ -29,9 +29,9 @@ To be published by MIT Press.
 	<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?
@@ -65,9 +65,9 @@ Citation:
 	<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