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Josef Kraus
Themen KI
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3f08e37a
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3f08e37a
authored
Apr 08, 2022
by
Quirin Wieser
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Update README.md
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@@ -24,43 +24,6 @@ https://sites.cc.gatech.edu/~alanwags/DLAI2016/2.%20(Gjoreski+)%20Comparing%20De
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9286431
## Gliederung
1.
Klassisches Maschinelles Lernen
1.1 Definition
1.2 Geschichte
1.3 Algorithmen
1.4 Anwendungsfälle
2.
Deep Learning
2.1 Definition
2.2 Geschichte
2.3 Neuronale Netze
2.4 Anwendungsfälle
3.
Vergleich
3.1 Vorteile Klassisches Maschinelles Lernen
3.2 Vorteile Deep Learning
3.3 Anwendungsfälle im Vergleich
4.
Praktische Übungen
4.1 R Demo
4.2 Python Übungen
## Definitionen
**Deep Learning:**
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