From 1eff9a39555a4fa8875c1b18d801e0ccfd7b6018 Mon Sep 17 00:00:00 2001
From: chriskolb <39267431+chriskolb@users.noreply.github.com>
Date: Mon, 15 Jan 2024 17:19:20 +0100
Subject: [PATCH] update video links for information theory

---
 content/chapters/13_information_theory/13-01-entropy.md         | 2 +-
 content/chapters/13_information_theory/13-02-entropy2.md        | 2 +-
 content/chapters/13_information_theory/13-03-diffent.md         | 2 +-
 content/chapters/13_information_theory/13-04-kl.md              | 2 +-
 .../chapters/13_information_theory/13-05-cross-entropy-kld.md   | 2 +-
 5 files changed, 5 insertions(+), 5 deletions(-)

diff --git a/content/chapters/13_information_theory/13-01-entropy.md b/content/chapters/13_information_theory/13-01-entropy.md
index ac82b04..c8c4276 100644
--- a/content/chapters/13_information_theory/13-01-entropy.md
+++ b/content/chapters/13_information_theory/13-01-entropy.md
@@ -8,7 +8,7 @@ We introduce entropy, which expresses the expected information for discrete rand
 
 ### Lecture video
 
-{{< video id="9H-DkQN0nxM" >}}
+{{< video id="UWv2ZPnifvw" >}}
 
 ### Lecture slides
 
diff --git a/content/chapters/13_information_theory/13-02-entropy2.md b/content/chapters/13_information_theory/13-02-entropy2.md
index e985c53..ddfbe09 100644
--- a/content/chapters/13_information_theory/13-02-entropy2.md
+++ b/content/chapters/13_information_theory/13-02-entropy2.md
@@ -8,7 +8,7 @@ We continue our discussion about entropy and introduce joint entropy, the unique
 
 ### Lecture video
 
-{{< video id="" >}}
+{{< video id="aFYF459PE-w" >}}
 
 ### Lecture slides
 
diff --git a/content/chapters/13_information_theory/13-03-diffent.md b/content/chapters/13_information_theory/13-03-diffent.md
index 333806d..8ee20b3 100644
--- a/content/chapters/13_information_theory/13-03-diffent.md
+++ b/content/chapters/13_information_theory/13-03-diffent.md
@@ -8,7 +8,7 @@ In this section, we extend the definition of entropy to the continuous case.
 
 ### Lecture video
 
-{{< video id="nTCwnRPLIsU" >}}
+{{< video id="aeJzIzKNLWI" >}}
 
 ### Lecture slides
 
diff --git a/content/chapters/13_information_theory/13-04-kl.md b/content/chapters/13_information_theory/13-04-kl.md
index d894f02..3618d2d 100644
--- a/content/chapters/13_information_theory/13-04-kl.md
+++ b/content/chapters/13_information_theory/13-04-kl.md
@@ -8,7 +8,7 @@ The Kullback-Leibler divergence (KL) is an important quantity for measuring the
 
 ### Lecture video
 
-{{< video id="kC0XXQgC4_k" >}}
+{{< video id="7ZaY4fvuFg0" >}}
 
 ### Lecture slides
 
diff --git a/content/chapters/13_information_theory/13-05-cross-entropy-kld.md b/content/chapters/13_information_theory/13-05-cross-entropy-kld.md
index c35b872..e67a745 100644
--- a/content/chapters/13_information_theory/13-05-cross-entropy-kld.md
+++ b/content/chapters/13_information_theory/13-05-cross-entropy-kld.md
@@ -8,7 +8,7 @@ We introduce cross-entropy as a further information-theoretic concept and discus
 
 ### Lecture video
 
-{{< video id="V5nYGjhRfY0" >}}
+{{< video id="vtS6h0UYs4E" >}}
 
 ### Lecture slides