From ecfcca8a0addbf33afd4e4333b035453cb47566b Mon Sep 17 00:00:00 2001
From: ludwigbothmann <46222472+ludwigbothmann@users.noreply.github.com>
Date: Wed, 13 Dec 2023 10:56:04 +0100
Subject: [PATCH] Updates from Overleaf

---
 slides/regularization/slides-regu-intro.tex          | 2 +-
 slides/regularization/slides-regu-ridge-deepdive.tex | 5 +++--
 2 files changed, 4 insertions(+), 3 deletions(-)

diff --git a/slides/regularization/slides-regu-intro.tex b/slides/regularization/slides-regu-intro.tex
index 24b08232..c740760a 100644
--- a/slides/regularization/slides-regu-intro.tex
+++ b/slides/regularization/slides-regu-intro.tex
@@ -33,7 +33,7 @@
 
 \end{vbframe}
 
-\begin{vbframe}{Invariance/Symmetry}
+\begin{vbframe}{Regularization for Invariance/Symmetry}
 Prior knowledge often requires that model predictions should be invariant under certain input transformations.\\
 In image classification, label ``cat'' should hold regardless of position or size of relevant object (translation/scale invariance)
 \begin{enumerate}\setlength\itemsep{1.02em}
diff --git a/slides/regularization/slides-regu-ridge-deepdive.tex b/slides/regularization/slides-regu-ridge-deepdive.tex
index 9f2317e3..199e82f8 100644
--- a/slides/regularization/slides-regu-ridge-deepdive.tex
+++ b/slides/regularization/slides-regu-ridge-deepdive.tex
@@ -5,8 +5,9 @@
 
 \newcommand{\titlefigure}{figure_man/bias-variance-ridge.png}
 \newcommand{\learninggoals}{
-  \item Know four perspectives interpretations on Ridge regression
-  \item Derivation of the bias-variance tradeoff for Ridge regression
+  \item Know interpretation of $L2$ regularization as row-augmentation
+  \item Know interpretation of $L2$ regularization as minimizing risk under feature noise
+  %\item Derivation of the bias-variance tradeoff for Ridge regression
 }
 
 \title{Introduction to Machine Learning}