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vlab-kaist · Mar 8, 2024 · 966e21a · 966e21a
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diff --git a/content/NN101/GBO.md b/content/NN101/GBO.md
@@ -53,6 +53,9 @@ We assumed that global minimum is a only local minimum. However, general functio
 > **Local minimum** is a smallest value in the given range.
 
 With method we build in [[GBO#Problem To steep slope|previous chapter]], sequence can easily trapped into the local minimum.
+#### Another Observation
+![[content/img/GBO-physics.png|250]]
+In this example, ball will go to global minimum due to inertia. Therefore, we can apply inertia to our formula.
 
 ---
 [^1]: https://en.wikipedia.org/wiki/Mathematical_optimization

diff --git a/content/NN101/NN101.md b/content/NN101/NN101.md
@@ -3,8 +3,6 @@ share: "true"
 title: NeuralNet101
 ---
 This course explains about basics of AI neural networks.
-Main Instructor : [Youjin Jang](https://github.com/jangyoujin0917)
-
 ### Brief Contents
 - [[GBO|Gradient-Based Optimization]]
 - Autograd