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Added Datenvorbereitung chapter

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Clemens Dautermann 2020-01-29 23:30:51 +01:00
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commit 4b80e7391f
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doc/Grundlagen_des_maschinellen_lernens.out
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@ -29,11 +29,10 @@
\BOOKMARK [1][-]{section.5}{Fallbeispiel I:Ein Klassifizierungsnetzwerk f\374r handgeschriebene Ziffern}{}% 29
\BOOKMARK [2][-]{subsection.5.1}{Aufgabe}{section.5}% 30
\BOOKMARK [2][-]{subsection.5.2}{Der MNIST Datensatz}{section.5}% 31
\BOOKMARK [2][-]{subsection.5.3}{Fragmentbasierte Erkennung}{section.5}% 32
\BOOKMARK [2][-]{subsection.5.4}{Ergebnis}{section.5}% 33
\BOOKMARK [1][-]{section.6}{Fallbeispiel II:Eine selbsttrainierende KI f\374r Tic-Tac-Toe}{}% 34
\BOOKMARK [2][-]{subsection.6.1}{Das Prinzip}{section.6}% 35
\BOOKMARK [2][-]{subsection.6.2}{Chance-Tree Optimierung}{section.6}% 36
\BOOKMARK [2][-]{subsection.6.3}{L\366sung mittels eines neuronalen Netzes}{section.6}% 37
\BOOKMARK [2][-]{subsection.6.4}{Vergleich}{section.6}% 38
\BOOKMARK [1][-]{section.7}{Schlusswort}{}% 39
\BOOKMARK [2][-]{subsection.5.3}{Ergebnis}{section.5}% 32
\BOOKMARK [1][-]{section.6}{Fallbeispiel II:Eine selbsttrainierende KI f\374r Tic-Tac-Toe}{}% 33
\BOOKMARK [2][-]{subsection.6.1}{Das Prinzip}{section.6}% 34
\BOOKMARK [2][-]{subsection.6.2}{Chance-Tree Optimierung}{section.6}% 35
\BOOKMARK [2][-]{subsection.6.3}{L\366sung mittels eines neuronalen Netzes}{section.6}% 36
\BOOKMARK [2][-]{subsection.6.4}{Vergleich}{section.6}% 37
\BOOKMARK [1][-]{section.7}{Schlusswort}{}% 38