Add lec 12 readings

790gradml · Oct 17, 2024 · e0fceda · e0fceda
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diff --git a/_modules/module-1.md b/_modules/module-1.md
@@ -92,6 +92,7 @@ Oct/15
 Oct/17
 : **Lecture 12**{: .label .label-red} Neural network models and problem structures
     : MP1 due
+        : [[B1]](/info/books/#primary-textbooks) <br> Ch 10, 13, 12
 
 Oct/18
 : **Review sessions**{: .label .label-blue}

diff --git a/info/books.md b/info/books.md
@@ -13,6 +13,7 @@ nav_order: 5
 # Other recommended reading
 
 - [B] [Pattern Recognition and Machine Learning](https://www.microsoft.com/en-us/research/uploads/prod/2006/01/Bishop-Pattern-Recognition-and-Machine-Learning-2006.pdf), Bishop; Springer, 2006.
+- [B2] [Deep Learning Foundations and Concepts](https://www.bishopbook.com/), Bishop; Bishop, 2024.
 - [HTF] [The Elements of Statistical Learning](https://hastie.su.domains/ElemStatLearn/), Hastie, Tibshirani, and Friedman; Springer, 2009.
 - [SB]/[SSS] [Understanding Machine Learning: From Theory to Algorithms](http://www.cs.huji.ac.il/~shais/UnderstandingMachineLearning), Shalev-Shwartz and Ben-David; Cambridge University Press, 2014.
 - [JWHT] [An Introduction to Statistical Learning](https://www.statlearning.com/), James, Witten, Hastie, and Tibshirani; Springer, 2013.