pytorch-ai/doc/Grundlagen_des_maschinellen_lernens.toc
2020-02-10 21:46:45 +01:00

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\contentsline {section}{\numberline {1}Was ist maschinelles Lernen?}{3}{section.1}%
\defcounter {refsection}{0}\relax
\contentsline {subsection}{\numberline {1.1}Klassifizierungsaufgaben}{3}{subsection.1.1}%
\defcounter {refsection}{0}\relax
\contentsline {subsection}{\numberline {1.2}Regressionsprobleme}{4}{subsection.1.2}%
\defcounter {refsection}{0}\relax
\contentsline {subsection}{\numberline {1.3}Gefahren von maschinellem Lernen}{5}{subsection.1.3}%
\defcounter {refsection}{0}\relax
\contentsline {subsubsection}{\numberline {1.3.1}Die Daten}{6}{subsubsection.1.3.1}%
\defcounter {refsection}{0}\relax
\contentsline {subsubsection}{\numberline {1.3.2}Overfitting}{6}{subsubsection.1.3.2}%
\defcounter {refsection}{0}\relax
\contentsline {section}{\numberline {2}Verschiedene Techniken maschinellen Lernens}{7}{section.2}%
\defcounter {refsection}{0}\relax
\contentsline {subsection}{\numberline {2.1}\IeC {\"U}berwachtes Lernen}{8}{subsection.2.1}%
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\contentsline {subsection}{\numberline {2.2}Un\IeC {\"u}berwachtes Lernen}{8}{subsection.2.2}%
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\contentsline {subsection}{\numberline {2.3}Best\IeC {\"a}rkendes Lernen}{8}{subsection.2.3}%
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\contentsline {section}{\numberline {3}Neuronale Netze}{9}{section.3}%
\defcounter {refsection}{0}\relax
\contentsline {subsection}{\numberline {3.1}Maschinelles Lernen und menschliches Lernen}{9}{subsection.3.1}%
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\contentsline {subsection}{\numberline {3.2}Der Aufbau eines neuronalen Netzes}{10}{subsection.3.2}%
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\contentsline {subsection}{\numberline {3.3}Berechnung des Ausgabevektors}{11}{subsection.3.3}%
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\contentsline {subsection}{\numberline {3.4}Der Lernprozess}{14}{subsection.3.4}%
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\contentsline {subsection}{\numberline {3.5}Fehlerfunktionen}{14}{subsection.3.5}%
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\contentsline {subsubsection}{\numberline {3.5.1}MSE -- Durchschnittlicher quadratischer Fehler}{14}{subsubsection.3.5.1}%
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\contentsline {subsubsection}{\numberline {3.5.2}MAE -- Durchschnittlicher absoluter Fehler}{15}{subsubsection.3.5.2}%
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\contentsline {subsubsection}{\numberline {3.5.3}Kreuzentropiefehler}{15}{subsubsection.3.5.3}%
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\contentsline {subsection}{\numberline {3.6}Gradientenverfahren und Backpropagation}{17}{subsection.3.6}%
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\contentsline {subsubsection}{\numberline {3.6.1}Lernrate}{17}{subsubsection.3.6.1}%
\defcounter {refsection}{0}\relax
\contentsline {subsection}{\numberline {3.7}Verschiedene Layerarten}{18}{subsection.3.7}%
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\contentsline {subsubsection}{\numberline {3.7.1}Convolutional Layers}{19}{subsubsection.3.7.1}%
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\contentsline {subsubsection}{\numberline {3.7.2}Pooling Layers}{22}{subsubsection.3.7.2}%
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\contentsline {section}{\numberline {4}PyTorch}{23}{section.4}%
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\contentsline {subsection}{\numberline {4.1}Datenvorbereitung}{24}{subsection.4.1}%
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\contentsline {subsection}{\numberline {4.2}Definieren des Netzes}{27}{subsection.4.2}%
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\contentsline {subsection}{\numberline {4.3}Trainieren des Netzes}{28}{subsection.4.3}%
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\contentsline {subsection}{\numberline {4.4}Pytorch und weights and biases}{30}{subsection.4.4}%
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\contentsline {section}{\numberline {5}Ein Klassifizierungsnetzwerk f\IeC {\"u}r handgeschriebene Ziffern}{30}{section.5}%
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\contentsline {subsection}{\numberline {5.1}Aufgabe}{31}{subsection.5.1}%
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\contentsline {subsection}{\numberline {5.2}Der MNIST Datensatz}{31}{subsection.5.2}%
\defcounter {refsection}{0}\relax
\contentsline {subsection}{\numberline {5.3}Das Netz}{31}{subsection.5.3}%
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\contentsline {subsection}{\numberline {5.4}Ergebnis}{32}{subsection.5.4}%
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\contentsline {section}{\numberline {6}Schluss}{33}{section.6}%