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Clemens Dautermann 2019-11-17 18:42:35 +01:00
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doc/Grundlagen_des_maschinellen_lernens.toc
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\defcounter {refsection}{0}\relax
\contentsline {section}{\numberline {1}Was ist maschinelles Lernen?}{3}{section.1}
\defcounter {refsection}{0}\relax
\contentsline {subsection}{\numberline {1.1}Einsatzgebiete maschinellen Lernens}{3}{subsection.1.1}
\defcounter {refsection}{0}\relax
\contentsline {section}{\numberline {2}Neuronale Netze}{3}{section.2}
\defcounter {refsection}{0}\relax
\contentsline {subsection}{\numberline {2.1}Maschinelles Lernen und menschliches Lernen}{3}{subsection.2.1}
\defcounter {refsection}{0}\relax
\contentsline {subsection}{\numberline {2.2}Der Aufbau eines neuronalen Netzes}{4}{subsection.2.2}
\defcounter {refsection}{0}\relax
\contentsline {subsection}{\numberline {2.3}Berechnung des Ausgabevektors}{7}{subsection.2.3}
\defcounter {refsection}{0}\relax
\contentsline {subsection}{\numberline {2.4}Der Lernprozess}{7}{subsection.2.4}
\defcounter {refsection}{0}\relax
\contentsline {subsubsection}{\numberline {2.4.1}Backpropagation}{7}{subsubsection.2.4.1}
\defcounter {refsection}{0}\relax
\contentsline {subsubsection}{\numberline {2.4.2}Fehlerfunktionen}{7}{subsubsection.2.4.2}
\defcounter {refsection}{0}\relax
\contentsline {subsubsection}{\numberline {2.4.3}SGD}{7}{subsubsection.2.4.3}
\defcounter {refsection}{0}\relax
\contentsline {subsubsection}{\numberline {2.4.4}Zusammenfassung}{7}{subsubsection.2.4.4}
\defcounter {refsection}{0}\relax
\contentsline {subsection}{\numberline {2.5}Verschiedene Layerarten}{7}{subsection.2.5}
\defcounter {refsection}{0}\relax
\contentsline {subsubsection}{\numberline {2.5.1}Fully connected Layers}{7}{subsubsection.2.5.1}
\defcounter {refsection}{0}\relax
\contentsline {subsubsection}{\numberline {2.5.2}Convolutional Layers}{7}{subsubsection.2.5.2}
\defcounter {refsection}{0}\relax
\contentsline {subsubsection}{\numberline {2.5.3}Pooling Layers}{7}{subsubsection.2.5.3}
\defcounter {refsection}{0}\relax
\contentsline {section}{\numberline {3}PyTorch}{7}{section.3}
\defcounter {refsection}{0}\relax
\contentsline {subsection}{\numberline {3.1}Datenvorbereitung}{7}{subsection.3.1}
\defcounter {refsection}{0}\relax
\contentsline {subsection}{\numberline {3.2}Definieren des Netzes}{7}{subsection.3.2}
\defcounter {refsection}{0}\relax
\contentsline {subsection}{\numberline {3.3}Trainieren des Netzes}{7}{subsection.3.3}
\defcounter {refsection}{0}\relax
\contentsline {section}{\numberline {4}Fallbeispiel I:\newline Ein Klassifizierungsnetzwerk f\IeC {\"u}r handgeschriebene Ziffern}{7}{section.4}
\defcounter {refsection}{0}\relax
\contentsline {subsection}{\numberline {4.1}Aufgabe}{7}{subsection.4.1}
\defcounter {refsection}{0}\relax
\contentsline {subsection}{\numberline {4.2}Der MNIST Datensatz}{7}{subsection.4.2}
\defcounter {refsection}{0}\relax
\contentsline {subsection}{\numberline {4.3}Fragmentbasierte Erkennung}{7}{subsection.4.3}
\defcounter {refsection}{0}\relax
\contentsline {subsection}{\numberline {4.4}Ergebnis}{7}{subsection.4.4}
\defcounter {refsection}{0}\relax
\contentsline {section}{\numberline {5}Fallbeispiel II:\newline Eine selbsttrainierende KI f\IeC {\"u}r Tic-Tac-Toe}{7}{section.5}
\defcounter {refsection}{0}\relax
\contentsline {subsection}{\numberline {5.1}Das Prinzip}{7}{subsection.5.1}
\defcounter {refsection}{0}\relax
\contentsline {subsection}{\numberline {5.2}Chance-Tree Optimierung}{7}{subsection.5.2}
\defcounter {refsection}{0}\relax
\contentsline {subsection}{\numberline {5.3}L\IeC {\"o}sung mittels eines neuronalen Netzes}{7}{subsection.5.3}
\defcounter {refsection}{0}\relax
\contentsline {subsection}{\numberline {5.4}Vergleich}{7}{subsection.5.4}
\defcounter {refsection}{0}\relax
\contentsline {section}{\numberline {6}Schlusswort}{7}{section.6}