books: add Deep Learning for Solving and Estimating Dynamic Models

_projects/deep-learning.md

@@ -0,0 +1,11 @@
+---
+name: "Deep Learning for Solving and Estimating Dynamic Models in Economics and Finance"
+authors: "Simon Scheidegger"
+description: "A graduate lecture script covering deep learning methods for high-dimensional dynamic stochastic models, including deep equilibrium nets, physics-informed neural networks, deep surrogate models, and Gaussian processes, with applications to macroeconomics, asset pricing, and climate economics."
+link: https://sischei.github.io/Deep_Learning_for_Solving_And_Estimating_Dynamic_Economic_Models/
+image: deep-learning-thumb.png
+order: 3
+type: book
+category: community
+new: true
+---

_projects/dp.md

@@ -4,7 +4,7 @@ authors: "Thomas J. Sargent and John Stachurski"
 description: "Volume I covers dynamic programming theory and applications for finite state spaces, including operators and fixed points, Markov dynamics, optimal stopping, and Markov decision processes."
 link: https://dp.quantecon.org
 image: dp-image.png
-order: 3
+order: 4
 type: book
 category: quantecon
 ---

_projects/networks.md

@@ -4,7 +4,7 @@ authors: "John Stachurski and Thomas J. Sargent"
 description: "This book is an introduction to economic networks and it emphasizes quantitative modeling, with the main underlying tools being graph theory, linear algebra, fixed point theory and programming."
 link: https://networks.quantecon.org
 image: networks-image.png
-order: 4
+order: 5
 type: book
 category: quantecon
 ---