pytorch-ai/doc/Grundlagen_des_maschinellen_lernens.toc
2020-02-12 19:19:13 +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}%
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\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}%
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\contentsline {subsubsection}{\numberline {1.3.2}Overfitting}{6}{subsubsection.1.3.2}%
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\contentsline {subsection}{\numberline {1.4}Adversarial attacks}{7}{subsection.1.4}%
\defcounter {refsection}{0}\relax
\contentsline {section}{\numberline {2}Verschiedene Techniken maschinellen Lernens}{8}{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}{9}{subsection.2.3}%
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\contentsline {section}{\numberline {3}Neuronale Netze}{9}{section.3}%
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\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}{12}{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}{15}{subsection.3.5}%
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\contentsline {subsubsection}{\numberline {3.5.1}MSE -- Durchschnittlicher quadratischer Fehler}{15}{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}{16}{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}{18}{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}{23}{subsubsection.3.7.2}%
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\contentsline {section}{\numberline {4}PyTorch}{24}{section.4}%
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\contentsline {subsection}{\numberline {4.1}Datenvorbereitung}{25}{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}{29}{subsection.4.3}%
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\contentsline {subsection}{\numberline {4.4}Pytorch und weights and biases}{31}{subsection.4.4}%
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\contentsline {section}{\numberline {5}Ein Klassifizierungsnetzwerk f\IeC {\"u}r handgeschriebene Ziffern}{31}{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}{32}{subsection.5.3}%
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\contentsline {subsection}{\numberline {5.4}Ergebnis}{33}{subsection.5.4}%
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\contentsline {section}{\numberline {6}Schluss}{34}{section.6}%