finished data chapter
This commit is contained in:
Clemens Dautermann
parent
03707a1e28
commit
d02f0cdbbc
9 changed files with 242 additions and 203 deletions
|
|
@ -37,52 +37,53 @@
|
|||
\abx@aux@cite{5}
|
||||
\abx@aux@segm{0}{0}{5}
|
||||
\@writefile{toc}{\defcounter {refsection}{0}\relax }\@writefile{toc}{\contentsline {subsection}{\numberline {1.3}Gefahren von maschinellem Lernen}{5}{subsection.1.3}\protected@file@percent }
|
||||
\@writefile{toc}{\defcounter {refsection}{0}\relax }\@writefile{toc}{\contentsline {subsubsection}{\numberline {1.3.1}Overfitting}{5}{subsubsection.1.3.1}\protected@file@percent }
|
||||
\@writefile{toc}{\defcounter {refsection}{0}\relax }\@writefile{toc}{\contentsline {subsubsection}{\numberline {1.3.2}Die Daten}{5}{subsubsection.1.3.2}\protected@file@percent }
|
||||
\@writefile{toc}{\defcounter {refsection}{0}\relax }\@writefile{toc}{\contentsline {subsubsection}{\numberline {1.3.1}Die Daten}{5}{subsubsection.1.3.1}\protected@file@percent }
|
||||
\@writefile{toc}{\defcounter {refsection}{0}\relax }\@writefile{toc}{\contentsline {subsubsection}{\numberline {1.3.2}Overfitting}{6}{subsubsection.1.3.2}\protected@file@percent }
|
||||
\@writefile{lof}{\defcounter {refsection}{0}\relax }\@writefile{lof}{\contentsline {figure}{\numberline {3}{\ignorespaces Overfitting\relax }}{6}{figure.caption.4}\protected@file@percent }
|
||||
\newlabel{Overfitting}{{3}{6}{Overfitting\relax }{figure.caption.4}{}}
|
||||
\@writefile{toc}{\defcounter {refsection}{0}\relax }\@writefile{toc}{\contentsline {section}{\numberline {2}Verschiedene Techniken maschinellen Lernens}{6}{section.2}\protected@file@percent }
|
||||
\@writefile{toc}{\defcounter {refsection}{0}\relax }\@writefile{toc}{\contentsline {subsection}{\numberline {2.1}\IeC {\"U}berwachtes Lernen}{6}{subsection.2.1}\protected@file@percent }
|
||||
\@writefile{toc}{\defcounter {refsection}{0}\relax }\@writefile{toc}{\contentsline {subsection}{\numberline {2.2}Un\IeC {\"u}berwachtes Lernen}{6}{subsection.2.2}\protected@file@percent }
|
||||
\@writefile{toc}{\defcounter {refsection}{0}\relax }\@writefile{toc}{\contentsline {subsection}{\numberline {2.3}Best\IeC {\"a}rkendes Lernen}{6}{subsection.2.3}\protected@file@percent }
|
||||
\@writefile{toc}{\defcounter {refsection}{0}\relax }\@writefile{toc}{\contentsline {section}{\numberline {3}Neuronale Netze}{6}{section.3}\protected@file@percent }
|
||||
\abx@aux@cite{2}
|
||||
\abx@aux@segm{0}{0}{2}
|
||||
\@writefile{toc}{\defcounter {refsection}{0}\relax }\@writefile{toc}{\contentsline {section}{\numberline {2}Verschiedene Techniken maschinellen Lernens}{7}{section.2}\protected@file@percent }
|
||||
\@writefile{toc}{\defcounter {refsection}{0}\relax }\@writefile{toc}{\contentsline {subsection}{\numberline {2.1}\IeC {\"U}berwachtes Lernen}{7}{subsection.2.1}\protected@file@percent }
|
||||
\@writefile{toc}{\defcounter {refsection}{0}\relax }\@writefile{toc}{\contentsline {subsection}{\numberline {2.2}Un\IeC {\"u}berwachtes Lernen}{7}{subsection.2.2}\protected@file@percent }
|
||||
\@writefile{toc}{\defcounter {refsection}{0}\relax }\@writefile{toc}{\contentsline {subsection}{\numberline {2.3}Best\IeC {\"a}rkendes Lernen}{7}{subsection.2.3}\protected@file@percent }
|
||||
\@writefile{toc}{\defcounter {refsection}{0}\relax }\@writefile{toc}{\contentsline {section}{\numberline {3}Neuronale Netze}{7}{section.3}\protected@file@percent }
|
||||
\@writefile{toc}{\defcounter {refsection}{0}\relax }\@writefile{toc}{\contentsline {subsection}{\numberline {3.1}Maschinelles Lernen und menschliches Lernen}{7}{subsection.3.1}\protected@file@percent }
|
||||
\@writefile{lof}{\defcounter {refsection}{0}\relax }\@writefile{lof}{\contentsline {figure}{\numberline {4}{\ignorespaces Neuron \newline Quelle: simple.wikipedia.org/wiki/File:Neuron.svg\newline Copyright: CC Attribution-Share Alike von Nutzer Dhp1080,\newline bearbeitet}}{7}{figure.caption.5}\protected@file@percent }
|
||||
\@writefile{toc}{\defcounter {refsection}{0}\relax }\@writefile{toc}{\contentsline {subsection}{\numberline {3.2}Der Aufbau eines neuronalen Netzes}{8}{subsection.3.2}\protected@file@percent }
|
||||
\@writefile{lof}{\defcounter {refsection}{0}\relax }\@writefile{lof}{\contentsline {figure}{\numberline {5}{\ignorespaces Ein einfaches neuronales Netz\relax }}{8}{figure.caption.6}\protected@file@percent }
|
||||
\@writefile{toc}{\defcounter {refsection}{0}\relax }\@writefile{toc}{\contentsline {subsection}{\numberline {3.3}Berechnung des Ausgabevektors}{9}{subsection.3.3}\protected@file@percent }
|
||||
\@writefile{lof}{\defcounter {refsection}{0}\relax }\@writefile{lof}{\contentsline {figure}{\numberline {6}{\ignorespaces Der Plot der Sigmoid Funktion $\sigma (x)=\frac {e^x}{e^x+1}$\relax }}{9}{figure.caption.7}\protected@file@percent }
|
||||
\@writefile{lof}{\defcounter {refsection}{0}\relax }\@writefile{lof}{\contentsline {figure}{\numberline {7}{\ignorespaces Formel zur Berechnung eines Ausgabevektors aus einem Eingabevektor durch ein Layer Neuronen. \relax }}{10}{figure.caption.8}\protected@file@percent }
|
||||
\@writefile{toc}{\defcounter {refsection}{0}\relax }\@writefile{toc}{\contentsline {subsection}{\numberline {3.3}Berechnung des Ausgabevektors}{8}{subsection.3.3}\protected@file@percent }
|
||||
\@writefile{lof}{\defcounter {refsection}{0}\relax }\@writefile{lof}{\contentsline {figure}{\numberline {5}{\ignorespaces Ein einfaches neuronales Netz\relax }}{9}{figure.caption.6}\protected@file@percent }
|
||||
\@writefile{lof}{\defcounter {refsection}{0}\relax }\@writefile{lof}{\contentsline {figure}{\numberline {6}{\ignorespaces Der Plot der Sigmoid Funktion $\sigma (x)=\frac {e^x}{e^x+1}$\relax }}{10}{figure.caption.7}\protected@file@percent }
|
||||
\@writefile{lof}{\defcounter {refsection}{0}\relax }\@writefile{lof}{\contentsline {figure}{\numberline {7}{\ignorespaces Formel zur Berechnung eines Ausgabevektors aus einem Eingabevektor durch ein Layer Neuronen. \relax }}{11}{figure.caption.8}\protected@file@percent }
|
||||
\@writefile{toc}{\defcounter {refsection}{0}\relax }\@writefile{toc}{\contentsline {subsection}{\numberline {3.4}Der Lernprozess}{11}{subsection.3.4}\protected@file@percent }
|
||||
\abx@aux@cite{3}
|
||||
\abx@aux@segm{0}{0}{3}
|
||||
\@writefile{toc}{\defcounter {refsection}{0}\relax }\@writefile{toc}{\contentsline {subsection}{\numberline {3.4}Der Lernprozess}{11}{subsection.3.4}\protected@file@percent }
|
||||
\@writefile{toc}{\defcounter {refsection}{0}\relax }\@writefile{toc}{\contentsline {subsection}{\numberline {3.5}Fehlerfunktionen}{11}{subsection.3.5}\protected@file@percent }
|
||||
\@writefile{toc}{\defcounter {refsection}{0}\relax }\@writefile{toc}{\contentsline {subsubsection}{\numberline {3.5.1}MSE -- Durchschnittlicher quadratischer Fehler}{11}{subsubsection.3.5.1}\protected@file@percent }
|
||||
\@writefile{lof}{\defcounter {refsection}{0}\relax }\@writefile{lof}{\contentsline {figure}{\numberline {8}{\ignorespaces Die Gleichung f\IeC {\"u}r den durchschnittlichen quadratischen Fehler\relax }}{11}{figure.caption.9}\protected@file@percent }
|
||||
\newlabel{MSE_equation}{{8}{11}{Die Gleichung für den durchschnittlichen quadratischen Fehler\relax }{figure.caption.9}{}}
|
||||
\abx@aux@segm{0}{0}{3}
|
||||
\@writefile{toc}{\defcounter {refsection}{0}\relax }\@writefile{toc}{\contentsline {subsection}{\numberline {3.5}Fehlerfunktionen}{12}{subsection.3.5}\protected@file@percent }
|
||||
\@writefile{toc}{\defcounter {refsection}{0}\relax }\@writefile{toc}{\contentsline {subsubsection}{\numberline {3.5.1}MSE -- Durchschnittlicher quadratischer Fehler}{12}{subsubsection.3.5.1}\protected@file@percent }
|
||||
\@writefile{lof}{\defcounter {refsection}{0}\relax }\@writefile{lof}{\contentsline {figure}{\numberline {8}{\ignorespaces Die Gleichung f\IeC {\"u}r den durchschnittlichen quadratischen Fehler\relax }}{12}{figure.caption.9}\protected@file@percent }
|
||||
\newlabel{MSE_equation}{{8}{12}{Die Gleichung für den durchschnittlichen quadratischen Fehler\relax }{figure.caption.9}{}}
|
||||
\@writefile{toc}{\defcounter {refsection}{0}\relax }\@writefile{toc}{\contentsline {subsubsection}{\numberline {3.5.2}MAE -- Durchschnitztlicher absoluter Fehler}{12}{subsubsection.3.5.2}\protected@file@percent }
|
||||
\@writefile{lof}{\defcounter {refsection}{0}\relax }\@writefile{lof}{\contentsline {figure}{\numberline {9}{\ignorespaces Die Gleichung f\IeC {\"u}r den durchschnittlichen absoluten Fehler\relax }}{12}{figure.caption.10}\protected@file@percent }
|
||||
\newlabel{MAE_equation}{{9}{12}{Die Gleichung für den durchschnittlichen absoluten Fehler\relax }{figure.caption.10}{}}
|
||||
\@writefile{toc}{\defcounter {refsection}{0}\relax }\@writefile{toc}{\contentsline {subsubsection}{\numberline {3.5.3}Kreuzentropiefehler}{12}{subsubsection.3.5.3}\protected@file@percent }
|
||||
\@writefile{toc}{\defcounter {refsection}{0}\relax }\@writefile{toc}{\contentsline {subsubsection}{\numberline {3.5.3}Kreuzentropiefehler}{13}{subsubsection.3.5.3}\protected@file@percent }
|
||||
\@writefile{lof}{\defcounter {refsection}{0}\relax }\@writefile{lof}{\contentsline {figure}{\numberline {10}{\ignorespaces Der Graph der Kreuzentropie Fehlerfunktion wenn das tats\IeC {\"a}chliche Label 1 ist\relax }}{13}{figure.caption.11}\protected@file@percent }
|
||||
\newlabel{CEL_Graph}{{10}{13}{Der Graph der Kreuzentropie Fehlerfunktion wenn das tatsächliche Label 1 ist\relax }{figure.caption.11}{}}
|
||||
\@writefile{lof}{\defcounter {refsection}{0}\relax }\@writefile{lof}{\contentsline {figure}{\numberline {11}{\ignorespaces Die Gleichung f\IeC {\"u}r den Kreuzentropiefehler\relax }}{13}{figure.caption.12}\protected@file@percent }
|
||||
\newlabel{CEL_Function}{{11}{13}{Die Gleichung für den Kreuzentropiefehler\relax }{figure.caption.12}{}}
|
||||
\@writefile{toc}{\defcounter {refsection}{0}\relax }\@writefile{toc}{\contentsline {subsection}{\numberline {3.6}Gradientenverfahren und Backpropagation}{13}{subsection.3.6}\protected@file@percent }
|
||||
\@writefile{lof}{\defcounter {refsection}{0}\relax }\@writefile{lof}{\contentsline {figure}{\numberline {11}{\ignorespaces Die Gleichung f\IeC {\"u}r den Kreuzentropiefehler\relax }}{14}{figure.caption.12}\protected@file@percent }
|
||||
\newlabel{CEL_Function}{{11}{14}{Die Gleichung für den Kreuzentropiefehler\relax }{figure.caption.12}{}}
|
||||
\@writefile{lof}{\defcounter {refsection}{0}\relax }\@writefile{lof}{\contentsline {figure}{\numberline {12}{\ignorespaces Die Gleichung f\IeC {\"u}r den durchschnittlichen absoluten Fehler\relax }}{14}{figure.caption.13}\protected@file@percent }
|
||||
\newlabel{CEL_Finction_cummulative}{{12}{14}{Die Gleichung für den durchschnittlichen absoluten Fehler\relax }{figure.caption.13}{}}
|
||||
\@writefile{toc}{\defcounter {refsection}{0}\relax }\@writefile{toc}{\contentsline {subsection}{\numberline {3.6}Gradientenverfahren und Backpropagation}{14}{subsection.3.6}\protected@file@percent }
|
||||
\newlabel{Gradient_section}{{3.6}{14}{Gradientenverfahren und Backpropagation}{subsection.3.6}{}}
|
||||
\@writefile{lof}{\defcounter {refsection}{0}\relax }\@writefile{lof}{\contentsline {figure}{\numberline {13}{\ignorespaces Die Gleichung f\IeC {\"u}r den Gradienten der Fehlerfunktion\relax }}{14}{figure.caption.14}\protected@file@percent }
|
||||
\newlabel{Gradient_Function}{{13}{14}{Die Gleichung für den Gradienten der Fehlerfunktion\relax }{figure.caption.14}{}}
|
||||
\@writefile{toc}{\defcounter {refsection}{0}\relax }\@writefile{toc}{\contentsline {subsubsection}{\numberline {3.6.1}Lernrate}{14}{subsubsection.3.6.1}\protected@file@percent }
|
||||
\@writefile{lof}{\defcounter {refsection}{0}\relax }\@writefile{lof}{\contentsline {figure}{\numberline {14}{\ignorespaces Die Gleichung f\IeC {\"u}r die Anpassung eines einzelnen Parameters\relax }}{14}{figure.caption.15}\protected@file@percent }
|
||||
\newlabel{Learning_Rate_Function}{{14}{14}{Die Gleichung für die Anpassung eines einzelnen Parameters\relax }{figure.caption.15}{}}
|
||||
\@writefile{toc}{\defcounter {refsection}{0}\relax }\@writefile{toc}{\contentsline {subsection}{\numberline {3.7}Verschiedene Layerarten}{14}{subsection.3.7}\protected@file@percent }
|
||||
\@writefile{toc}{\defcounter {refsection}{0}\relax }\@writefile{toc}{\contentsline {subsubsection}{\numberline {3.6.1}Lernrate}{15}{subsubsection.3.6.1}\protected@file@percent }
|
||||
\@writefile{lof}{\defcounter {refsection}{0}\relax }\@writefile{lof}{\contentsline {figure}{\numberline {14}{\ignorespaces Die Gleichung f\IeC {\"u}r die Anpassung eines einzelnen Parameters\relax }}{15}{figure.caption.15}\protected@file@percent }
|
||||
\newlabel{Learning_Rate_Function}{{14}{15}{Die Gleichung für die Anpassung eines einzelnen Parameters\relax }{figure.caption.15}{}}
|
||||
\@writefile{lof}{\defcounter {refsection}{0}\relax }\@writefile{lof}{\contentsline {figure}{\numberline {15}{\ignorespaces $\eta $ ist hier zu gro\IeC {\ss } gew\IeC {\"a}hlt\relax }}{15}{figure.caption.16}\protected@file@percent }
|
||||
\newlabel{Learning_Rate_Graphic}{{15}{15}{$\eta $ ist hier zu groß gewählt\relax }{figure.caption.16}{}}
|
||||
\@writefile{toc}{\defcounter {refsection}{0}\relax }\@writefile{toc}{\contentsline {subsubsection}{\numberline {3.7.1}Convolutional Layers}{15}{subsubsection.3.7.1}\protected@file@percent }
|
||||
\@writefile{toc}{\defcounter {refsection}{0}\relax }\@writefile{toc}{\contentsline {subsection}{\numberline {3.7}Verschiedene Layerarten}{16}{subsection.3.7}\protected@file@percent }
|
||||
\@writefile{toc}{\defcounter {refsection}{0}\relax }\@writefile{toc}{\contentsline {subsubsection}{\numberline {3.7.1}Convolutional Layers}{16}{subsubsection.3.7.1}\protected@file@percent }
|
||||
\@writefile{lof}{\defcounter {refsection}{0}\relax }\@writefile{lof}{\contentsline {figure}{\numberline {16}{\ignorespaces Eine Verbildlichung der Vorg\IeC {\"a}nge in einem convolutional Layer\newline Aus einer Animation von\newline https://github.com/vdumoulin/conv\_arithmetic/blob/master/README.md Vincent Dumoulin, Francesco Visin - A guide to convolution arithmetic for deep learning (BibTeX)}}{16}{figure.caption.17}\protected@file@percent }
|
||||
\newlabel{Convolution_illustration}{{16}{16}{Eine Verbildlichung der Vorgänge in einem convolutional Layer\newline Aus einer Animation von\newline https://github.com/vdumoulin/conv\_arithmetic/blob/master/README.md\\ Vincent Dumoulin, Francesco Visin - A guide to convolution arithmetic for deep learning (BibTeX)}{figure.caption.17}{}}
|
||||
\@writefile{lof}{\defcounter {refsection}{0}\relax }\@writefile{lof}{\contentsline {figure}{\numberline {17}{\ignorespaces Erkennt obere horizontale Kanten\relax }}{17}{figure.caption.18}\protected@file@percent }
|
||||
|
|
|
|||
|
|
@ -9,25 +9,25 @@
|
|||
\defcounter {refsection}{0}\relax
|
||||
\contentsline {figure}{\numberline {4}{\ignorespaces Neuron \newline Quelle: simple.wikipedia.org/wiki/File:Neuron.svg\newline Copyright: CC Attribution-Share Alike von Nutzer Dhp1080,\newline bearbeitet}}{7}{figure.caption.5}%
|
||||
\defcounter {refsection}{0}\relax
|
||||
\contentsline {figure}{\numberline {5}{\ignorespaces Ein einfaches neuronales Netz\relax }}{8}{figure.caption.6}%
|
||||
\contentsline {figure}{\numberline {5}{\ignorespaces Ein einfaches neuronales Netz\relax }}{9}{figure.caption.6}%
|
||||
\defcounter {refsection}{0}\relax
|
||||
\contentsline {figure}{\numberline {6}{\ignorespaces Der Plot der Sigmoid Funktion $\sigma (x)=\frac {e^x}{e^x+1}$\relax }}{9}{figure.caption.7}%
|
||||
\contentsline {figure}{\numberline {6}{\ignorespaces Der Plot der Sigmoid Funktion $\sigma (x)=\frac {e^x}{e^x+1}$\relax }}{10}{figure.caption.7}%
|
||||
\defcounter {refsection}{0}\relax
|
||||
\contentsline {figure}{\numberline {7}{\ignorespaces Formel zur Berechnung eines Ausgabevektors aus einem Eingabevektor durch ein Layer Neuronen. \relax }}{10}{figure.caption.8}%
|
||||
\contentsline {figure}{\numberline {7}{\ignorespaces Formel zur Berechnung eines Ausgabevektors aus einem Eingabevektor durch ein Layer Neuronen. \relax }}{11}{figure.caption.8}%
|
||||
\defcounter {refsection}{0}\relax
|
||||
\contentsline {figure}{\numberline {8}{\ignorespaces Die Gleichung f\IeC {\"u}r den durchschnittlichen quadratischen Fehler\relax }}{11}{figure.caption.9}%
|
||||
\contentsline {figure}{\numberline {8}{\ignorespaces Die Gleichung f\IeC {\"u}r den durchschnittlichen quadratischen Fehler\relax }}{12}{figure.caption.9}%
|
||||
\defcounter {refsection}{0}\relax
|
||||
\contentsline {figure}{\numberline {9}{\ignorespaces Die Gleichung f\IeC {\"u}r den durchschnittlichen absoluten Fehler\relax }}{12}{figure.caption.10}%
|
||||
\defcounter {refsection}{0}\relax
|
||||
\contentsline {figure}{\numberline {10}{\ignorespaces Der Graph der Kreuzentropie Fehlerfunktion wenn das tats\IeC {\"a}chliche Label 1 ist\relax }}{13}{figure.caption.11}%
|
||||
\defcounter {refsection}{0}\relax
|
||||
\contentsline {figure}{\numberline {11}{\ignorespaces Die Gleichung f\IeC {\"u}r den Kreuzentropiefehler\relax }}{13}{figure.caption.12}%
|
||||
\contentsline {figure}{\numberline {11}{\ignorespaces Die Gleichung f\IeC {\"u}r den Kreuzentropiefehler\relax }}{14}{figure.caption.12}%
|
||||
\defcounter {refsection}{0}\relax
|
||||
\contentsline {figure}{\numberline {12}{\ignorespaces Die Gleichung f\IeC {\"u}r den durchschnittlichen absoluten Fehler\relax }}{14}{figure.caption.13}%
|
||||
\defcounter {refsection}{0}\relax
|
||||
\contentsline {figure}{\numberline {13}{\ignorespaces Die Gleichung f\IeC {\"u}r den Gradienten der Fehlerfunktion\relax }}{14}{figure.caption.14}%
|
||||
\defcounter {refsection}{0}\relax
|
||||
\contentsline {figure}{\numberline {14}{\ignorespaces Die Gleichung f\IeC {\"u}r die Anpassung eines einzelnen Parameters\relax }}{14}{figure.caption.15}%
|
||||
\contentsline {figure}{\numberline {14}{\ignorespaces Die Gleichung f\IeC {\"u}r die Anpassung eines einzelnen Parameters\relax }}{15}{figure.caption.15}%
|
||||
\defcounter {refsection}{0}\relax
|
||||
\contentsline {figure}{\numberline {15}{\ignorespaces $\eta $ ist hier zu gro\IeC {\ss } gew\IeC {\"a}hlt\relax }}{15}{figure.caption.16}%
|
||||
\defcounter {refsection}{0}\relax
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
This is pdfTeX, Version 3.14159265-2.6-1.40.20 (TeX Live 2019/Debian) (preloaded format=pdflatex 2020.1.22) 23 JAN 2020 16:37
|
||||
This is pdfTeX, Version 3.14159265-2.6-1.40.20 (TeX Live 2019/Debian) (preloaded format=pdflatex 2020.1.22) 25 JAN 2020 13:22
|
||||
entering extended mode
|
||||
restricted \write18 enabled.
|
||||
%&-line parsing enabled.
|
||||
|
|
@ -1227,51 +1227,51 @@ File: german.lbx 2018/11/02 v3.12 biblatex localization (PK/MW)
|
|||
(./Grundlagen_des_maschinellen_lernens.aux)
|
||||
\openout1 = `Grundlagen_des_maschinellen_lernens.aux'.
|
||||
|
||||
LaTeX Font Info: Checking defaults for OML/txmi/m/it on input line 30.
|
||||
LaTeX Font Info: Try loading font information for OML+txmi on input line 30.
|
||||
LaTeX Font Info: Checking defaults for OML/txmi/m/it on input line 35.
|
||||
LaTeX Font Info: Try loading font information for OML+txmi on input line 35.
|
||||
|
||||
|
||||
(/usr/share/texlive/texmf-dist/tex/latex/txfonts/omltxmi.fd
|
||||
File: omltxmi.fd 2000/12/15 v3.1
|
||||
)
|
||||
LaTeX Font Info: ... okay on input line 30.
|
||||
LaTeX Font Info: Checking defaults for T1/cmr/m/n on input line 30.
|
||||
LaTeX Font Info: ... okay on input line 30.
|
||||
LaTeX Font Info: Checking defaults for OT1/cmr/m/n on input line 30.
|
||||
LaTeX Font Info: ... okay on input line 30.
|
||||
LaTeX Font Info: Checking defaults for OMS/txsy/m/n on input line 30.
|
||||
LaTeX Font Info: Try loading font information for OMS+txsy on input line 30.
|
||||
LaTeX Font Info: ... okay on input line 35.
|
||||
LaTeX Font Info: Checking defaults for T1/cmr/m/n on input line 35.
|
||||
LaTeX Font Info: ... okay on input line 35.
|
||||
LaTeX Font Info: Checking defaults for OT1/cmr/m/n on input line 35.
|
||||
LaTeX Font Info: ... okay on input line 35.
|
||||
LaTeX Font Info: Checking defaults for OMS/txsy/m/n on input line 35.
|
||||
LaTeX Font Info: Try loading font information for OMS+txsy on input line 35.
|
||||
|
||||
|
||||
(/usr/share/texlive/texmf-dist/tex/latex/txfonts/omstxsy.fd
|
||||
File: omstxsy.fd 2000/12/15 v3.1
|
||||
)
|
||||
LaTeX Font Info: ... okay on input line 30.
|
||||
LaTeX Font Info: Checking defaults for OMX/txex/m/n on input line 30.
|
||||
LaTeX Font Info: Try loading font information for OMX+txex on input line 30.
|
||||
LaTeX Font Info: ... okay on input line 35.
|
||||
LaTeX Font Info: Checking defaults for OMX/txex/m/n on input line 35.
|
||||
LaTeX Font Info: Try loading font information for OMX+txex on input line 35.
|
||||
|
||||
|
||||
(/usr/share/texlive/texmf-dist/tex/latex/txfonts/omxtxex.fd
|
||||
File: omxtxex.fd 2000/12/15 v3.1
|
||||
)
|
||||
LaTeX Font Info: ... okay on input line 30.
|
||||
LaTeX Font Info: Checking defaults for U/txexa/m/n on input line 30.
|
||||
LaTeX Font Info: Try loading font information for U+txexa on input line 30.
|
||||
LaTeX Font Info: ... okay on input line 35.
|
||||
LaTeX Font Info: Checking defaults for U/txexa/m/n on input line 35.
|
||||
LaTeX Font Info: Try loading font information for U+txexa on input line 35.
|
||||
|
||||
(/usr/share/texlive/texmf-dist/tex/latex/txfonts/utxexa.fd
|
||||
File: utxexa.fd 2000/12/15 v3.1
|
||||
)
|
||||
LaTeX Font Info: ... okay on input line 30.
|
||||
LaTeX Font Info: Checking defaults for TS1/cmr/m/n on input line 30.
|
||||
LaTeX Font Info: Try loading font information for TS1+cmr on input line 30.
|
||||
LaTeX Font Info: ... okay on input line 35.
|
||||
LaTeX Font Info: Checking defaults for TS1/cmr/m/n on input line 35.
|
||||
LaTeX Font Info: Try loading font information for TS1+cmr on input line 35.
|
||||
|
||||
(/usr/share/texlive/texmf-dist/tex/latex/base/ts1cmr.fd
|
||||
File: ts1cmr.fd 2014/09/29 v2.5h Standard LaTeX font definitions
|
||||
)
|
||||
LaTeX Font Info: ... okay on input line 30.
|
||||
LaTeX Font Info: Checking defaults for PD1/pdf/m/n on input line 30.
|
||||
LaTeX Font Info: ... okay on input line 30.
|
||||
LaTeX Font Info: Try loading font information for T1+txr on input line 30.
|
||||
LaTeX Font Info: ... okay on input line 35.
|
||||
LaTeX Font Info: Checking defaults for PD1/pdf/m/n on input line 35.
|
||||
LaTeX Font Info: ... okay on input line 35.
|
||||
LaTeX Font Info: Try loading font information for T1+txr on input line 35.
|
||||
|
||||
(/usr/share/texlive/texmf-dist/tex/latex/txfonts/t1txr.fd
|
||||
File: t1txr.fd 2000/12/15 v3.1
|
||||
|
|
@ -1279,7 +1279,7 @@ File: t1txr.fd 2000/12/15 v3.1
|
|||
\c@mv@tabular=\count347
|
||||
\c@mv@boldtabular=\count348
|
||||
\AtBeginShipoutBox=\box43
|
||||
Package hyperref Info: Link coloring OFF on input line 30.
|
||||
Package hyperref Info: Link coloring OFF on input line 35.
|
||||
|
||||
(/usr/share/texlive/texmf-dist/tex/latex/hyperref/nameref.sty
|
||||
Package: nameref 2016/05/21 v2.44 Cross-referencing by name of section
|
||||
|
|
@ -1289,9 +1289,9 @@ Package: gettitlestring 2016/05/16 v1.5 Cleanup title references (HO)
|
|||
)
|
||||
\c@section@level=\count349
|
||||
)
|
||||
LaTeX Info: Redefining \ref on input line 30.
|
||||
LaTeX Info: Redefining \pageref on input line 30.
|
||||
LaTeX Info: Redefining \nameref on input line 30.
|
||||
LaTeX Info: Redefining \ref on input line 35.
|
||||
LaTeX Info: Redefining \pageref on input line 35.
|
||||
LaTeX Info: Redefining \nameref on input line 35.
|
||||
|
||||
(./Grundlagen_des_maschinellen_lernens.out)
|
||||
(./Grundlagen_des_maschinellen_lernens.out)
|
||||
|
|
@ -1340,52 +1340,60 @@ Package biblatex Info: ... file 'Grundlagen_des_maschinellen_lernens.bbl' not f
|
|||
ound.
|
||||
|
||||
No file Grundlagen_des_maschinellen_lernens.bbl.
|
||||
Package biblatex Info: Reference section=0 on input line 30.
|
||||
Package biblatex Info: Reference segment=0 on input line 30.
|
||||
Package biblatex Info: Reference section=0 on input line 35.
|
||||
Package biblatex Info: Reference segment=0 on input line 35.
|
||||
ABD: EveryShipout initializing macros
|
||||
|
||||
Package pgfplots Warning: running in backwards compatibility mode (unsuitable t
|
||||
ick labels; missing features). Consider writing \pgfplotsset{compat=1.16} into
|
||||
your preamble.
|
||||
on input line 30.
|
||||
on input line 35.
|
||||
|
||||
Package caption Info: Begin \AtBeginDocument code.
|
||||
Package caption Info: End \AtBeginDocument code.
|
||||
LaTeX Font Info: Try loading font information for T1+LinuxBiolinumT-TLF on i
|
||||
nput line 31.
|
||||
nput line 36.
|
||||
(/usr/share/texlive/texmf-dist/tex/latex/libertine/T1LinuxBiolinumT-TLF.fd
|
||||
File: T1LinuxBiolinumT-TLF.fd 2017/03/20 (autoinst) Font definitions for T1/Lin
|
||||
uxBiolinumT-TLF.
|
||||
)
|
||||
LaTeX Font Info: Font shape `T1/LinuxBiolinumT-TLF/m/n' will be
|
||||
(Font) scaled to size 10.0pt on input line 31.
|
||||
(Font) scaled to size 10.0pt on input line 36.
|
||||
LaTeX Font Info: Font shape `T1/LinuxBiolinumT-TLF/m/n' will be
|
||||
(Font) scaled to size 17.28pt on input line 35.
|
||||
(Font) scaled to size 17.28pt on input line 40.
|
||||
LaTeX Font Info: Font shape `T1/LinuxBiolinumT-TLF/m/n' will be
|
||||
(Font) scaled to size 24.88pt on input line 35.
|
||||
(Font) scaled to size 24.88pt on input line 40.
|
||||
LaTeX Font Info: Font shape `T1/LinuxBiolinumT-TLF/m/n' will be
|
||||
(Font) scaled to size 12.0pt on input line 35.
|
||||
LaTeX Font Info: Try loading font information for OT1+txr on input line 35.
|
||||
(Font) scaled to size 20.74pt on input line 40.
|
||||
LaTeX Font Info: Font shape `T1/LinuxBiolinumT-TLF/m/n' will be
|
||||
(Font) scaled to size 14.4pt on input line 40.
|
||||
|
||||
Overfull \hbox (5.0pt too wide) in paragraph at lines 40--40
|
||||
|
|
||||
[]
|
||||
|
||||
LaTeX Font Info: Font shape `T1/LinuxBiolinumT-TLF/m/n' will be
|
||||
(Font) scaled to size 12.0pt on input line 40.
|
||||
LaTeX Font Info: Try loading font information for OT1+txr on input line 40.
|
||||
(/usr/share/texlive/texmf-dist/tex/latex/txfonts/ot1txr.fd
|
||||
File: ot1txr.fd 2000/12/15 v3.1
|
||||
)
|
||||
LaTeX Font Info: Try loading font information for U+txmia on input line 35.
|
||||
LaTeX Font Info: Try loading font information for U+txmia on input line 40.
|
||||
|
||||
(/usr/share/texlive/texmf-dist/tex/latex/txfonts/utxmia.fd
|
||||
File: utxmia.fd 2000/12/15 v3.1
|
||||
)
|
||||
LaTeX Font Info: Try loading font information for U+txsya on input line 35.
|
||||
LaTeX Font Info: Try loading font information for U+txsya on input line 40.
|
||||
|
||||
(/usr/share/texlive/texmf-dist/tex/latex/txfonts/utxsya.fd
|
||||
File: utxsya.fd 2000/12/15 v3.1
|
||||
)
|
||||
LaTeX Font Info: Try loading font information for U+txsyb on input line 35.
|
||||
LaTeX Font Info: Try loading font information for U+txsyb on input line 40.
|
||||
|
||||
(/usr/share/texlive/texmf-dist/tex/latex/txfonts/utxsyb.fd
|
||||
File: utxsyb.fd 2000/12/15 v3.1
|
||||
)
|
||||
LaTeX Font Info: Try loading font information for U+txsyc on input line 35.
|
||||
LaTeX Font Info: Try loading font information for U+txsyc on input line 40.
|
||||
|
||||
(/usr/share/texlive/texmf-dist/tex/latex/txfonts/utxsyc.fd
|
||||
File: utxsyc.fd 2000/12/15 v3.1
|
||||
|
|
@ -1405,80 +1413,87 @@ LaTeX Font Info: Font shape `T1/LinuxBiolinumT-TLF/b/n' will be
|
|||
|
||||
[1] [2]
|
||||
|
||||
LaTeX Warning: Citation '1' on page 3 undefined on input line 43.
|
||||
LaTeX Warning: Citation '1' on page 3 undefined on input line 48.
|
||||
|
||||
<../graphics/Classification.png, id=225, 467.5869pt x 464.6961pt>
|
||||
File: ../graphics/Classification.png Graphic file (type png)
|
||||
<use ../graphics/Classification.png>
|
||||
Package pdftex.def Info: ../graphics/Classification.png used on input line 56.
|
||||
Package pdftex.def Info: ../graphics/Classification.png used on input line 61.
|
||||
|
||||
(pdftex.def) Requested size: 137.9979pt x 137.14088pt.
|
||||
[3]
|
||||
<../graphics/Regression.png, id=232, 467.5869pt x 464.6961pt>
|
||||
File: ../graphics/Regression.png Graphic file (type png)
|
||||
<use ../graphics/Regression.png>
|
||||
Package pdftex.def Info: ../graphics/Regression.png used on input line 66.
|
||||
Package pdftex.def Info: ../graphics/Regression.png used on input line 71.
|
||||
(pdftex.def) Requested size: 137.9979pt x 137.14088pt.
|
||||
[4 <../graphics/classification.png> <../graphics/regression.png>]
|
||||
|
||||
LaTeX Warning: Citation '4' on page 5 undefined on input line 74.
|
||||
LaTeX Warning: Citation '4' on page 5 undefined on input line 79.
|
||||
|
||||
<../graphics/overfitting.png, id=242, 467.5869pt x 529.0164pt>
|
||||
|
||||
LaTeX Warning: Citation '5' on page 5 undefined on input line 83.
|
||||
|
||||
[5]
|
||||
<../graphics/overfitting.png, id=249, 467.5869pt x 529.0164pt>
|
||||
File: ../graphics/overfitting.png Graphic file (type png)
|
||||
<use ../graphics/overfitting.png>
|
||||
Package pdftex.def Info: ../graphics/overfitting.png used on input line 80.
|
||||
Package pdftex.def Info: ../graphics/overfitting.png used on input line 90.
|
||||
(pdftex.def) Requested size: 207.0021pt x 234.1967pt.
|
||||
|
||||
Overfull \hbox (1.84744pt too wide) in paragraph at lines 77--87
|
||||
Overfull \hbox (1.84744pt too wide) in paragraph at lines 87--97
|
||||
\T1/LinuxBiolinumT-TLF/m/n/10 Overfitting ist ein häu-fig auf-tre-ten-des Pro-b
|
||||
lem bei Klas-si-fi-zie-rungs-auf-ga-ben. Die Klas-
|
||||
[]
|
||||
|
||||
[6 <../graphics/overfitting.png>]
|
||||
<../graphics/Neuron.png, id=259, 299.9205pt x 158.994pt>
|
||||
File: ../graphics/Neuron.png Graphic file (type png)
|
||||
<use ../graphics/Neuron.png>
|
||||
Package pdftex.def Info: ../graphics/Neuron.png used on input line 109.
|
||||
(pdftex.def) Requested size: 299.91975pt x 158.9936pt.
|
||||
|
||||
|
||||
LaTeX Warning: Citation '2' on page 7 undefined on input line 115.
|
||||
|
||||
[7 <../graphics/Neuron.png>]
|
||||
<../graphics/Neural_Net.png, id=267, 548.16795pt x 432.8973pt>
|
||||
File: ../graphics/Neural_Net.png Graphic file (type png)
|
||||
<use ../graphics/Neural_Net.png>
|
||||
Package pdftex.def Info: ../graphics/Neural_Net.png used on input line 120.
|
||||
(pdftex.def) Requested size: 345.0pt x 272.45592pt.
|
||||
|
||||
Underfull \hbox (badness 10000) in paragraph at lines 117--124
|
||||
|
||||
[]
|
||||
|
||||
|
||||
LaTeX Warning: `h' float specifier changed to `ht'.
|
||||
|
||||
|
||||
LaTeX Warning: Citation '5' on page 5 undefined on input line 88.
|
||||
|
||||
[5] [6 <../graphics/overfitting.png>]
|
||||
<../graphics/Neuron.png, id=255, 299.9205pt x 158.994pt>
|
||||
File: ../graphics/Neuron.png Graphic file (type png)
|
||||
<use ../graphics/Neuron.png>
|
||||
Package pdftex.def Info: ../graphics/Neuron.png used on input line 100.
|
||||
(pdftex.def) Requested size: 299.91975pt x 158.9936pt.
|
||||
|
||||
|
||||
LaTeX Warning: Citation '2' on page 7 undefined on input line 106.
|
||||
|
||||
<../graphics/Neural_Net.png, id=256, 548.16795pt x 432.8973pt>
|
||||
File: ../graphics/Neural_Net.png Graphic file (type png)
|
||||
<use ../graphics/Neural_Net.png>
|
||||
Package pdftex.def Info: ../graphics/Neural_Net.png used on input line 111.
|
||||
(pdftex.def) Requested size: 345.0pt x 272.45592pt.
|
||||
|
||||
Underfull \hbox (badness 10000) in paragraph at lines 108--115
|
||||
|
||||
[]
|
||||
|
||||
[7 <../graphics/Neuron.png>] [8 <../graphics/Neural_Net.png>]
|
||||
[8]
|
||||
Missing character: There is no . in font nullfont!
|
||||
Missing character: There is no 0 in font nullfont!
|
||||
Missing character: There is no 1 in font nullfont!
|
||||
Missing character: There is no p in font nullfont!
|
||||
Missing character: There is no t in font nullfont!
|
||||
[9] [10]
|
||||
|
||||
LaTeX Warning: Citation '3' on page 11 undefined on input line 219.
|
||||
|
||||
[11]
|
||||
LaTeX Warning: `h' float specifier changed to `ht'.
|
||||
|
||||
LaTeX Warning: Citation '3' on page 12 undefined on input line 230.
|
||||
[9 <../graphics/Neural_Net.png>] [10] [11]
|
||||
|
||||
LaTeX Warning: Citation '3' on page 12 undefined on input line 228.
|
||||
|
||||
|
||||
LaTeX Warning: Citation '3' on page 12 undefined on input line 239.
|
||||
|
||||
[12]
|
||||
Missing character: There is no . in font nullfont!
|
||||
Missing character: There is no 0 in font nullfont!
|
||||
Missing character: There is no 1 in font nullfont!
|
||||
Missing character: There is no p in font nullfont!
|
||||
Missing character: There is no t in font nullfont!
|
||||
|
||||
NOTE: coordinate (2Y5.0e0],3Y0.0e0]) has been dropped because it is unbounded (
|
||||
in y). (see also unbounded coords=jump).
|
||||
NOTE: coordinate (2Y3.889e0],3Y0.0e0]) has been dropped because it is unbounded
|
||||
|
|
@ -1492,77 +1507,64 @@ nded (in y). (see also unbounded coords=jump).
|
|||
|
||||
LaTeX Warning: `h' float specifier changed to `ht'.
|
||||
|
||||
|
||||
LaTeX Warning: `h' float specifier changed to `ht'.
|
||||
|
||||
|
||||
LaTeX Warning: `h' float specifier changed to `ht'.
|
||||
|
||||
[12]
|
||||
|
||||
LaTeX Warning: `h' float specifier changed to `ht'.
|
||||
|
||||
<../graphics/gdf_big_lr.png, id=315, 484.57034pt x 482.0409pt>
|
||||
[13]
|
||||
<../graphics/gdf_big_lr.png, id=322, 484.57034pt x 482.0409pt>
|
||||
File: ../graphics/gdf_big_lr.png Graphic file (type png)
|
||||
<use ../graphics/gdf_big_lr.png>
|
||||
Package pdftex.def Info: ../graphics/gdf_big_lr.png used on input line 304.
|
||||
Package pdftex.def Info: ../graphics/gdf_big_lr.png used on input line 314.
|
||||
(pdftex.def) Requested size: 172.5pt x 171.60013pt.
|
||||
[13]
|
||||
|
||||
LaTeX Warning: `h' float specifier changed to `ht'.
|
||||
|
||||
[14]
|
||||
<../graphics/conv/conv008.png, id=331, 396.48125pt x 450.68375pt>
|
||||
[14] [15 <../graphics/gdf_big_lr.png>]
|
||||
<../graphics/conv/conv008.png, id=340, 396.48125pt x 450.68375pt>
|
||||
File: ../graphics/conv/conv008.png Graphic file (type png)
|
||||
<use ../graphics/conv/conv008.png>
|
||||
Package pdftex.def Info: ../graphics/conv/conv008.png used on input line 322.
|
||||
Package pdftex.def Info: ../graphics/conv/conv008.png used on input line 332.
|
||||
(pdftex.def) Requested size: 68.99895pt x 78.43071pt.
|
||||
[15 <../graphics/gdf_big_lr.png>] [16 <../graphics/conv/conv008.png>]
|
||||
<../graphics/mnist_5/mnist_5_raw.png, id=346, 462.528pt x 346.896pt>
|
||||
[16 <../graphics/conv/conv008.png>]
|
||||
<../graphics/mnist_5/mnist_5_raw.png, id=350, 462.528pt x 346.896pt>
|
||||
File: ../graphics/mnist_5/mnist_5_raw.png Graphic file (type png)
|
||||
<use ../graphics/mnist_5/mnist_5_raw.png>
|
||||
Package pdftex.def Info: ../graphics/mnist_5/mnist_5_raw.png used on input lin
|
||||
e 385.
|
||||
e 395.
|
||||
(pdftex.def) Requested size: 172.5pt x 129.37639pt.
|
||||
<../graphics/mnist_5/conv_only/mnist_5_upper_edges.png, id=347, 462.528pt x 346
|
||||
<../graphics/mnist_5/conv_only/mnist_5_upper_edges.png, id=351, 462.528pt x 346
|
||||
.896pt>
|
||||
File: ../graphics/mnist_5/conv_only/mnist_5_upper_edges.png Graphic file (type
|
||||
png)
|
||||
<use ../graphics/mnist_5/conv_only/mnist_5_upper_edges.png>
|
||||
Package pdftex.def Info: ../graphics/mnist_5/conv_only/mnist_5_upper_edges.png
|
||||
used on input line 394.
|
||||
used on input line 404.
|
||||
(pdftex.def) Requested size: 68.99895pt x 51.7463pt.
|
||||
<../graphics/mnist_5/conv_only/mnist_5_left_edges.png, id=348, 462.528pt x 346.
|
||||
<../graphics/mnist_5/conv_only/mnist_5_left_edges.png, id=352, 462.528pt x 346.
|
||||
896pt>
|
||||
File: ../graphics/mnist_5/conv_only/mnist_5_left_edges.png Graphic file (type p
|
||||
ng)
|
||||
<use ../graphics/mnist_5/conv_only/mnist_5_left_edges.png>
|
||||
Package pdftex.def Info: ../graphics/mnist_5/conv_only/mnist_5_left_edges.png
|
||||
used on input line 399.
|
||||
used on input line 409.
|
||||
(pdftex.def) Requested size: 68.99895pt x 51.7463pt.
|
||||
<../graphics/mnist_5/conv_only/mnist_5_lower_edges.png, id=349, 462.528pt x 346
|
||||
<../graphics/mnist_5/conv_only/mnist_5_lower_edges.png, id=353, 462.528pt x 346
|
||||
.896pt>
|
||||
File: ../graphics/mnist_5/conv_only/mnist_5_lower_edges.png Graphic file (type
|
||||
png)
|
||||
<use ../graphics/mnist_5/conv_only/mnist_5_lower_edges.png>
|
||||
Package pdftex.def Info: ../graphics/mnist_5/conv_only/mnist_5_lower_edges.png
|
||||
used on input line 404.
|
||||
used on input line 414.
|
||||
(pdftex.def) Requested size: 68.99895pt x 51.7463pt.
|
||||
<../graphics/mnist_5/conv_only/mnist_5_right_edges.png, id=350, 462.528pt x 346
|
||||
<../graphics/mnist_5/conv_only/mnist_5_right_edges.png, id=354, 462.528pt x 346
|
||||
.896pt>
|
||||
File: ../graphics/mnist_5/conv_only/mnist_5_right_edges.png Graphic file (type
|
||||
png)
|
||||
<use ../graphics/mnist_5/conv_only/mnist_5_right_edges.png>
|
||||
Package pdftex.def Info: ../graphics/mnist_5/conv_only/mnist_5_right_edges.png
|
||||
used on input line 409.
|
||||
used on input line 419.
|
||||
(pdftex.def) Requested size: 68.99895pt x 51.7463pt.
|
||||
<../graphics/features.png, id=353, 833.1125pt x 388.45125pt>
|
||||
<../graphics/features.png, id=357, 833.1125pt x 388.45125pt>
|
||||
File: ../graphics/features.png Graphic file (type png)
|
||||
<use ../graphics/features.png>
|
||||
Package pdftex.def Info: ../graphics/features.png used on input line 420.
|
||||
Package pdftex.def Info: ../graphics/features.png used on input line 430.
|
||||
(pdftex.def) Requested size: 345.0pt x 160.86047pt.
|
||||
|
||||
Underfull \hbox (badness 10000) in paragraph at lines 331--427
|
||||
Underfull \hbox (badness 10000) in paragraph at lines 341--437
|
||||
|
||||
[]
|
||||
|
||||
|
|
@ -1570,119 +1572,119 @@ Underfull \hbox (badness 10000) in paragraph at lines 331--427
|
|||
5_upper_edges.png> <../graphics/mnist_5/conv_only/mnist_5_left_edges.png> <../g
|
||||
raphics/mnist_5/conv_only/mnist_5_lower_edges.png> <../graphics/mnist_5/conv_on
|
||||
ly/mnist_5_right_edges.png>] [18 <../graphics/features.png>]
|
||||
<../graphics/MaxpoolSample2.png, id=375, 164.25pt x 68.547pt>
|
||||
<../graphics/MaxpoolSample2.png, id=379, 164.25pt x 68.547pt>
|
||||
File: ../graphics/MaxpoolSample2.png Graphic file (type png)
|
||||
<use ../graphics/MaxpoolSample2.png>
|
||||
Package pdftex.def Info: ../graphics/MaxpoolSample2.png used on input line 438
|
||||
Package pdftex.def Info: ../graphics/MaxpoolSample2.png used on input line 448
|
||||
.
|
||||
(pdftex.def) Requested size: 241.49895pt x 100.79422pt.
|
||||
<../graphics/Average-Pooling-Example.png, id=376, 746.79pt x 337.26pt>
|
||||
<../graphics/Average-Pooling-Example.png, id=380, 746.79pt x 337.26pt>
|
||||
File: ../graphics/Average-Pooling-Example.png Graphic file (type png)
|
||||
<use ../graphics/Average-Pooling-Example.png>
|
||||
Package pdftex.def Info: ../graphics/Average-Pooling-Example.png used on input
|
||||
line 446.
|
||||
line 456.
|
||||
(pdftex.def) Requested size: 241.49895pt x 109.0627pt.
|
||||
File: ../graphics/mnist_5/conv_only/mnist_5_upper_edges.png Graphic file (type
|
||||
png)
|
||||
<use ../graphics/mnist_5/conv_only/mnist_5_upper_edges.png>
|
||||
Package pdftex.def Info: ../graphics/mnist_5/conv_only/mnist_5_upper_edges.png
|
||||
used on input line 456.
|
||||
used on input line 466.
|
||||
(pdftex.def) Requested size: 68.99895pt x 51.7463pt.
|
||||
File: ../graphics/mnist_5/conv_only/mnist_5_left_edges.png Graphic file (type p
|
||||
ng)
|
||||
<use ../graphics/mnist_5/conv_only/mnist_5_left_edges.png>
|
||||
Package pdftex.def Info: ../graphics/mnist_5/conv_only/mnist_5_left_edges.png
|
||||
used on input line 461.
|
||||
used on input line 471.
|
||||
(pdftex.def) Requested size: 68.99895pt x 51.7463pt.
|
||||
File: ../graphics/mnist_5/conv_only/mnist_5_lower_edges.png Graphic file (type
|
||||
png)
|
||||
<use ../graphics/mnist_5/conv_only/mnist_5_lower_edges.png>
|
||||
Package pdftex.def Info: ../graphics/mnist_5/conv_only/mnist_5_lower_edges.png
|
||||
used on input line 466.
|
||||
used on input line 476.
|
||||
(pdftex.def) Requested size: 68.99895pt x 51.7463pt.
|
||||
File: ../graphics/mnist_5/conv_only/mnist_5_right_edges.png Graphic file (type
|
||||
png)
|
||||
<use ../graphics/mnist_5/conv_only/mnist_5_right_edges.png>
|
||||
Package pdftex.def Info: ../graphics/mnist_5/conv_only/mnist_5_right_edges.png
|
||||
used on input line 471.
|
||||
used on input line 481.
|
||||
(pdftex.def) Requested size: 68.99895pt x 51.7463pt.
|
||||
<../graphics/mnist_5/conv_pool/upper_horiz_pooled.png, id=378, 462.528pt x 346.
|
||||
<../graphics/mnist_5/conv_pool/upper_horiz_pooled.png, id=382, 462.528pt x 346.
|
||||
896pt>
|
||||
File: ../graphics/mnist_5/conv_pool/upper_horiz_pooled.png Graphic file (type p
|
||||
ng)
|
||||
<use ../graphics/mnist_5/conv_pool/upper_horiz_pooled.png>
|
||||
Package pdftex.def Info: ../graphics/mnist_5/conv_pool/upper_horiz_pooled.png
|
||||
used on input line 476.
|
||||
used on input line 486.
|
||||
(pdftex.def) Requested size: 68.99895pt x 51.7463pt.
|
||||
<../graphics/mnist_5/conv_pool/left_vert_pooled.png, id=379, 462.528pt x 346.89
|
||||
<../graphics/mnist_5/conv_pool/left_vert_pooled.png, id=383, 462.528pt x 346.89
|
||||
6pt>
|
||||
File: ../graphics/mnist_5/conv_pool/left_vert_pooled.png Graphic file (type png
|
||||
)
|
||||
<use ../graphics/mnist_5/conv_pool/left_vert_pooled.png>
|
||||
Package pdftex.def Info: ../graphics/mnist_5/conv_pool/left_vert_pooled.png us
|
||||
ed on input line 481.
|
||||
ed on input line 491.
|
||||
(pdftex.def) Requested size: 68.99895pt x 51.7463pt.
|
||||
<../graphics/mnist_5/conv_pool/lower_horiz_pooled.png, id=380, 462.528pt x 346.
|
||||
<../graphics/mnist_5/conv_pool/lower_horiz_pooled.png, id=384, 462.528pt x 346.
|
||||
896pt>
|
||||
File: ../graphics/mnist_5/conv_pool/lower_horiz_pooled.png Graphic file (type p
|
||||
ng)
|
||||
<use ../graphics/mnist_5/conv_pool/lower_horiz_pooled.png>
|
||||
Package pdftex.def Info: ../graphics/mnist_5/conv_pool/lower_horiz_pooled.png
|
||||
used on input line 486.
|
||||
used on input line 496.
|
||||
(pdftex.def) Requested size: 68.99895pt x 51.7463pt.
|
||||
<../graphics/mnist_5/conv_pool/right_vert_pooled.png, id=381, 462.528pt x 346.8
|
||||
<../graphics/mnist_5/conv_pool/right_vert_pooled.png, id=385, 462.528pt x 346.8
|
||||
96pt>
|
||||
File: ../graphics/mnist_5/conv_pool/right_vert_pooled.png Graphic file (type pn
|
||||
g)
|
||||
<use ../graphics/mnist_5/conv_pool/right_vert_pooled.png>
|
||||
Package pdftex.def Info: ../graphics/mnist_5/conv_pool/right_vert_pooled.png u
|
||||
sed on input line 491.
|
||||
sed on input line 501.
|
||||
(pdftex.def) Requested size: 68.99895pt x 51.7463pt.
|
||||
<../graphics/mnist_5/conv_pool/upper_horiz_avgpooled.png, id=382, 462.528pt x 3
|
||||
<../graphics/mnist_5/conv_pool/upper_horiz_avgpooled.png, id=386, 462.528pt x 3
|
||||
46.896pt>
|
||||
File: ../graphics/mnist_5/conv_pool/upper_horiz_avgpooled.png Graphic file (typ
|
||||
e png)
|
||||
<use ../graphics/mnist_5/conv_pool/upper_horiz_avgpooled.png>
|
||||
Package pdftex.def Info: ../graphics/mnist_5/conv_pool/upper_horiz_avgpooled.pn
|
||||
g used on input line 496.
|
||||
g used on input line 506.
|
||||
(pdftex.def) Requested size: 68.99895pt x 51.7463pt.
|
||||
<../graphics/mnist_5/conv_pool/left_vert_avgpooled.png, id=383, 462.528pt x 346
|
||||
<../graphics/mnist_5/conv_pool/left_vert_avgpooled.png, id=387, 462.528pt x 346
|
||||
.896pt>
|
||||
File: ../graphics/mnist_5/conv_pool/left_vert_avgpooled.png Graphic file (type
|
||||
png)
|
||||
<use ../graphics/mnist_5/conv_pool/left_vert_avgpooled.png>
|
||||
Package pdftex.def Info: ../graphics/mnist_5/conv_pool/left_vert_avgpooled.png
|
||||
used on input line 501.
|
||||
used on input line 511.
|
||||
(pdftex.def) Requested size: 68.99895pt x 51.7463pt.
|
||||
<../graphics/mnist_5/conv_pool/lower_horiz_avgpooled.png, id=384, 462.528pt x 3
|
||||
<../graphics/mnist_5/conv_pool/lower_horiz_avgpooled.png, id=388, 462.528pt x 3
|
||||
46.896pt>
|
||||
File: ../graphics/mnist_5/conv_pool/lower_horiz_avgpooled.png Graphic file (typ
|
||||
e png)
|
||||
<use ../graphics/mnist_5/conv_pool/lower_horiz_avgpooled.png>
|
||||
Package pdftex.def Info: ../graphics/mnist_5/conv_pool/lower_horiz_avgpooled.pn
|
||||
g used on input line 506.
|
||||
g used on input line 516.
|
||||
(pdftex.def) Requested size: 68.99895pt x 51.7463pt.
|
||||
<../graphics/mnist_5/conv_pool/right_vert_avgpooled.png, id=385, 462.528pt x 34
|
||||
<../graphics/mnist_5/conv_pool/right_vert_avgpooled.png, id=389, 462.528pt x 34
|
||||
6.896pt>
|
||||
File: ../graphics/mnist_5/conv_pool/right_vert_avgpooled.png Graphic file (type
|
||||
png)
|
||||
<use ../graphics/mnist_5/conv_pool/right_vert_avgpooled.png>
|
||||
Package pdftex.def Info: ../graphics/mnist_5/conv_pool/right_vert_avgpooled.png
|
||||
used on input line 511.
|
||||
used on input line 521.
|
||||
(pdftex.def) Requested size: 68.99895pt x 51.7463pt.
|
||||
|
||||
Underfull \hbox (badness 10000) in paragraph at lines 434--517
|
||||
Underfull \hbox (badness 10000) in paragraph at lines 444--527
|
||||
|
||||
[]
|
||||
|
||||
[19 <../graphics/MaxpoolSample2.png> <../graphics/Average-pooling-example.png>]
|
||||
|
||||
Package hyperref Warning: Token not allowed in a PDF string (PDFDocEncoding):
|
||||
(hyperref) removing `\newline' on input line 521.
|
||||
(hyperref) removing `\newline' on input line 531.
|
||||
|
||||
|
||||
Package hyperref Warning: Token not allowed in a PDF string (PDFDocEncoding):
|
||||
(hyperref) removing `\newline' on input line 526.
|
||||
(hyperref) removing `\newline' on input line 536.
|
||||
|
||||
[20 <../graphics/mnist_5/conv_pool/upper_horiz_pooled.png> <../graphics/mnist_5
|
||||
/conv_pool/left_vert_pooled.png> <../graphics/mnist_5/conv_pool/lower_horiz_poo
|
||||
|
|
@ -1690,19 +1692,19 @@ led.png> <../graphics/mnist_5/conv_pool/right_vert_pooled.png> <../graphics/mni
|
|||
st_5/conv_pool/upper_horiz_avgpooled.png> <../graphics/mnist_5/conv_pool/left_v
|
||||
ert_avgpooled.png> <../graphics/mnist_5/conv_pool/lower_horiz_avgpooled.png> <.
|
||||
./graphics/mnist_5/conv_pool/right_vert_avgpooled.png>] [21]
|
||||
Underfull \hbox (badness 10000) in paragraph at lines 543--547
|
||||
Underfull \hbox (badness 10000) in paragraph at lines 553--557
|
||||
\T1/LinuxBiolinumT-TLF/m/n/10 Quelle: https://towardsdatascience.com/common-los
|
||||
s-functions-in-machine-
|
||||
[]
|
||||
|
||||
|
||||
Underfull \hbox (badness 10000) in paragraph at lines 548--552
|
||||
Underfull \hbox (badness 10000) in paragraph at lines 558--562
|
||||
\T1/LinuxBiolinumT-TLF/m/n/10 https://www.bloomberg.com/news/articles/2019-12-1
|
||||
1/face-recognition-tech-
|
||||
[]
|
||||
|
||||
|
||||
Underfull \hbox (badness 10000) in paragraph at lines 553--557
|
||||
Underfull \hbox (badness 10000) in paragraph at lines 563--567
|
||||
\T1/LinuxBiolinumT-TLF/m/n/10 https://www.technologyreview.com/f/614986/ai-face
|
||||
-recognition-racist-us-
|
||||
[]
|
||||
|
|
@ -1730,14 +1732,14 @@ p/Max-pooling_/_Pooling
|
|||
\openout7 = `Grundlagen_des_maschinellen_lernens.lof'.
|
||||
|
||||
[23]
|
||||
Package atveryend Info: Empty hook `BeforeClearDocument' on input line 559.
|
||||
Package atveryend Info: Empty hook `AfterLastShipout' on input line 559.
|
||||
Package atveryend Info: Empty hook `BeforeClearDocument' on input line 569.
|
||||
Package atveryend Info: Empty hook `AfterLastShipout' on input line 569.
|
||||
(./Grundlagen_des_maschinellen_lernens.aux)
|
||||
Package atveryend Info: Executing hook `AtVeryEndDocument' on input line 559.
|
||||
Package atveryend Info: Executing hook `AtEndAfterFileList' on input line 559.
|
||||
Package atveryend Info: Executing hook `AtVeryEndDocument' on input line 569.
|
||||
Package atveryend Info: Executing hook `AtEndAfterFileList' on input line 569.
|
||||
Package rerunfilecheck Info: File `Grundlagen_des_maschinellen_lernens.out' has
|
||||
not changed.
|
||||
(rerunfilecheck) Checksum: 0E54AACBB11CF153F035C5523DB10E3D;2880.
|
||||
(rerunfilecheck) Checksum: 6B7BC4D35395A22E712E0049E7FB94ED;2880.
|
||||
|
||||
|
||||
LaTeX Warning: There were undefined references.
|
||||
|
|
@ -1753,11 +1755,11 @@ un.xml'.
|
|||
|
||||
)
|
||||
Here is how much of TeX's memory you used:
|
||||
38566 strings out of 492609
|
||||
860436 string characters out of 6131462
|
||||
1389284 words of memory out of 5000000
|
||||
41748 multiletter control sequences out of 15000+600000
|
||||
83070 words of font info for 118 fonts, out of 8000000 for 9000
|
||||
38572 strings out of 492609
|
||||
860576 string characters out of 6131462
|
||||
1388446 words of memory out of 5000000
|
||||
41751 multiletter control sequences out of 15000+600000
|
||||
93620 words of font info for 122 fonts, out of 8000000 for 9000
|
||||
1143 hyphenation exceptions out of 8191
|
||||
62i,14n,100p,1509b,3448s stack positions out of 5000i,500n,10000p,200000b,80000s
|
||||
{/usr/share/texlive/texmf-dist/fonts/enc/dvips/base/8r.enc}{/usr/share/texliv
|
||||
|
|
@ -1772,11 +1774,11 @@ hare/texlive/texmf-dist/fonts/type1/urw/times/utmb8a.pfb></usr/share/texlive/te
|
|||
xmf-dist/fonts/type1/urw/times/utmr8a.pfb></usr/share/texlive/texmf-dist/fonts/
|
||||
type1/urw/times/utmr8a.pfb></usr/share/texlive/texmf-dist/fonts/type1/urw/times
|
||||
/utmri8a.pfb>
|
||||
Output written on Grundlagen_des_maschinellen_lernens.pdf (24 pages, 1423323 by
|
||||
Output written on Grundlagen_des_maschinellen_lernens.pdf (24 pages, 1424471 by
|
||||
tes).
|
||||
PDF statistics:
|
||||
537 PDF objects out of 1000 (max. 8388607)
|
||||
450 compressed objects within 5 object streams
|
||||
108 named destinations out of 1000 (max. 500000)
|
||||
543 PDF objects out of 1000 (max. 8388607)
|
||||
456 compressed objects within 5 object streams
|
||||
109 named destinations out of 1000 (max. 500000)
|
||||
440 words of extra memory for PDF output out of 10000 (max. 10000000)
|
||||
|
||||
|
|
|
|||
|
|
@ -2,8 +2,8 @@
|
|||
\BOOKMARK [2][-]{subsection.1.1}{Klassifizierungsprobleme}{section.1}% 2
|
||||
\BOOKMARK [2][-]{subsection.1.2}{Regressionsprobleme}{section.1}% 3
|
||||
\BOOKMARK [2][-]{subsection.1.3}{Gefahren von maschinellem Lernen}{section.1}% 4
|
||||
\BOOKMARK [3][-]{subsubsection.1.3.1}{Overfitting}{subsection.1.3}% 5
|
||||
\BOOKMARK [3][-]{subsubsection.1.3.2}{Die Daten}{subsection.1.3}% 6
|
||||
\BOOKMARK [3][-]{subsubsection.1.3.1}{Die Daten}{subsection.1.3}% 5
|
||||
\BOOKMARK [3][-]{subsubsection.1.3.2}{Overfitting}{subsection.1.3}% 6
|
||||
\BOOKMARK [1][-]{section.2}{Verschiedene Techniken maschinellen Lernens}{}% 7
|
||||
\BOOKMARK [2][-]{subsection.2.1}{\334berwachtes Lernen}{section.2}% 8
|
||||
\BOOKMARK [2][-]{subsection.2.2}{Un\374berwachtes Lernen}{section.2}% 9
|
||||
|
|
|
|||
Binary file not shown.
Binary file not shown.
|
|
@ -20,7 +20,12 @@
|
|||
\usepackage{caption}
|
||||
|
||||
\author{Clemens Dautermann}
|
||||
\title{\Huge Grundbegriffe des maschinellen Lernens}
|
||||
\title{\Huge Grundbegriffe des maschinellen Lernens\\
|
||||
\bigskip
|
||||
\huge Neuronale Netze \line(1,0){350}
|
||||
\vspace*{10mm}
|
||||
\Large Besondere Lernleistung im Fach Informatik
|
||||
\vspace*{70mm}}
|
||||
\date{\today{}}
|
||||
\pagestyle{fancy}
|
||||
\captionsetup{justification=raggedright,singlelinecheck=false}
|
||||
|
|
@ -73,6 +78,11 @@ Die Kurve stellt hier Keine Grenze, sondern die Funktion, die die Werte approxim
|
|||
Maschinelles Lernen kann eine mächtige Technologie sein. Eine Vielzahl von Problemen lässt sich damit lösen, alle jedoch nicht. Man sollte sich bevor man maschinelles Lernen nutzt also Fragen: Lässt sich dieses Problem nicht einfacher auf konventionelle Weise lösen? Außerdem sollte man sich stets bewusst sein, dass maschinelles Lernen im Gegensatz zu den meißten Algorythmen, keine Technologie ist, die eine Treffsicherheit von 100\% aufweist. In Systemen, wo eine korrekte Antwort kritisch ist, sollte man also nicht alleine auf maschinelles Lernen setzen.\\
|
||||
Auch ist für maschinelles Lernen stets eine enorme Datenmenge nötig. Diese Daten müssen erst gesammelt werden. Hier stellt sich natürlich sofort eine ethische Frage: Welche Daten können guten Gewissens gesammelt und ausgewertret werden? Dabei sollte das Persönlichkeitsrecht und das Recht auf Privatsphäre eine zentrale Rolle spielen. Niemals sollte der Nutzen der Technologie über die Rechte der Nutzer gestellt werden. Betrachtet man hier beispielsweise den Flukhafen von Peking, sind erschreckende Tendenzen festzustellen. Dort wird beim Check-In via Gesichtserkennung die Identität der Person mit ihrem Gesicht verknüpft. Danach läuft alles vom Ticketkauf bis hin zum Duty-free-shop mit Hilfe von Gesichtserkennung ab \cite{4}.\\
|
||||
Die zentralen Gefahren maschinellen Lernens sind also die eventuelle Unsicherheit im Ergebnis, der hohe Trainingsaufwand, der gegebenenfalls mit klassischen Algorythmen vermieden werden kann und die Verletzung von Rechten durch das Auswerten persönlicher Daten.
|
||||
|
||||
\subsubsection{Die Daten}
|
||||
Wie bereits erwähnt sind die Datensätze oft der limitierende Faktor beim maschinellen Lernen. Das gravierendste Problem ist, überhaupt einen passenden Datensatz für das Problem zu finden oder generieren zu können. Dabei muss man beachten, dass man in den alle für das Problem relevanten Faktoren berücksichtigt. Möchte man beispielsweise Gesichter jeglicher Art erkennen, genügt es nicht den Algorythmus auf einem Datensatz von Gesichtern hellhäutiger Menschen zu trainieren, da dieser zum Erkennen von Gesichtern dunkelhäuitiger Menschen dann nutzlos wäre. Dass dies kein theoretisches, sondern auch ein praktisch auftretendes Phänomen ist, zeigt eine Studie des National Institute for Standards and Technology (NIST)\cite{5}. Diese hat ergeben, dass beispielsweise ein in den USA entwickelter und dort sehr populärer Algorythmus eine extrem hohe Fehlerquote für afroamerikanische Frauen hat. Da dieses System unter anderem von der Polizei in den USA verwendet wird, haben afroamerikanische Frauen eine wesentlich höhere Chance fälschlicherweise einer Straftat beschuldigt zu werden.\\
|
||||
Man sollte außerdem beachten, dass der Datensatz gut ausgeglichen ist. Das bedeutet, dass alle Trainingsdaten gleichmäßig verteilt sind. Möchte man beispielsweise Eingabedaten in 4 verschiedene Klassen klassifizieren, so sollten etwa 25\% der Daten zu Klasse A gehören, 25\% zu Klasse B und so weiter. Der in dieser Arbeit später verwendete MNIST Datensatz hat einen Umfang von 60000 handgeschriebenben Ziffern von 0 bis 9. Den größten Anteil haben einsen mit rund 11\%, den niedrigsten haben Fünfen mir 9\%. Damit kann der Datensatz als ausgeglichen betrachtet werden. Eine genaue Definition, ab wann ein Datensatz nicht mehr ausgeglichen ist, existiert nicht.\\
|
||||
Datensätze müssen ausgeglichen sein, da das Netz sonst den Fehler minimiert, indem es öfter die Klasse mit dem höhsten Anteil als Antwort liefert. Es erkennt, dass die höhste Trefferquote vorliegt, wenn es diese Antwort gibt, da so die Wahrscheinlichkeit eines Treffers maximal ist\footnote{In diesem Fall wird dann in der Fehlerfunktion ein lokales Minnimum gefunden. Dazu mehr unter Abschnitt \ref{Gradient_section}, \nameref{Gradient_section}}.
|
||||
\subsubsection{Overfitting}
|
||||
Overfitting ist ein häufig auftretendes Problem bei Klassifizierungsaufgaben. Die Klassengrenzen werden dabei zu genau aber falsch definiert. In Abbildung \ref{Overfitting} ist dies dargestellt.
|
||||
\begin{figure}[h]
|
||||
|
|
@ -84,8 +94,7 @@ Overfitting ist ein häufig auftretendes Problem bei Klassifizierungsaufgaben. D
|
|||
\\
|
||||
Overfitting tritt auf, wenn man ein neuronales Netz zu lange auf einem Datensatz trainiert. Das Netz lernt dann die Daten auswendig, da es so einen Fehler von 0 erreichen kann. Dadurch wurden aber keine wirklichen Klassengrenzen erlernt.\\
|
||||
Um Overfitting entgegenzuwirken reicht es oftmals den Trainingsdatensatz in der Reihenfolge zu randomisieren. Dadurch kann das Netz diese gar nicht auswendig lernen.
|
||||
\subsubsection{Die Daten}
|
||||
Wie bereits erwähnt sind die Datensätze oft der limitierende Faktor beim maschinellen Lernen. Das gravierendste Problem ist, überhaupt einen passenden Datensatz für das Problem zu finden oder generieren zu können. Dabei muss man beachten, dass man in den alle für das Problem relevanten Faktoren berücksichtigt. Möchte man beispielsweise Gesichter jeglicher Art erkennen, genügt es nicht den Algorythmus auf einem Datensatz von Gesichtern hellhäutiger Menschen zu trainieren, da dieser zum Erkennen von Gesichtern dunkelhäuitiger Menschen dann nutzlos wäre. Dass dies kein theoretisches, sondern auch ein praktisch auftretendes Phänomen ist, zeigt eine Studie des National Institute for Standards and Technology (NIST)\cite{5}. Diese hat ergeben, dass beispielsweise ein in den USA entwickelter und dort sehr populärer Algorythmus eine extremn hohe Fehlerquote für afroamerikanische Frauen hat. Da dieses System unter anderem von der Polizei in den USA verwendet wird, haben afroamerikanische Frauen eine wesentlich höhere Chance fälschlicherweise einer Straftat beschuldigt zu werden.
|
||||
|
||||
\section{Verschiedene Techniken maschinellen Lernens}
|
||||
\subsection{Überwachtes Lernen}
|
||||
\subsection{Unüberwachtes Lernen}
|
||||
|
|
@ -270,6 +279,7 @@ Existieren mehr als 2 Klassen, handelt es sich also nicht mehr um eine Binärkla
|
|||
\newline
|
||||
Dabei gibt M die Anzahl der Klassen an, c das Label für die Klasse und o die berechnete Klassifizierung für diese Klasse.
|
||||
\subsection{Gradientenverfahren und Backpropagation}
|
||||
\label{Gradient_section}
|
||||
Das Gradientenverfahren ist ein Verfahren um das Minimum einer Funktion zu finden. Die Funktion, deren Minimum gefunden werden soll ist in diesem Fall die Fehlerfunktion. Diese ist von allen Gewichtungen und Biases des Netzwerkes abhängig, da sie direkt vom Ausgabevektor des Netzes abhängig ist. Der Gradient dieser Funktion ist in Abbildung \ref{Gradient_Function} dargestellt.
|
||||
\begin{figure}[h]
|
||||
\begin{equation*}
|
||||
|
|
|
|||
|
|
@ -9,43 +9,43 @@
|
|||
\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}Overfitting}{5}{subsubsection.1.3.1}%
|
||||
\contentsline {subsubsection}{\numberline {1.3.1}Die Daten}{5}{subsubsection.1.3.1}%
|
||||
\defcounter {refsection}{0}\relax
|
||||
\contentsline {subsubsection}{\numberline {1.3.2}Die Daten}{5}{subsubsection.1.3.2}%
|
||||
\contentsline {subsubsection}{\numberline {1.3.2}Overfitting}{6}{subsubsection.1.3.2}%
|
||||
\defcounter {refsection}{0}\relax
|
||||
\contentsline {section}{\numberline {2}Verschiedene Techniken maschinellen Lernens}{6}{section.2}%
|
||||
\contentsline {section}{\numberline {2}Verschiedene Techniken maschinellen Lernens}{7}{section.2}%
|
||||
\defcounter {refsection}{0}\relax
|
||||
\contentsline {subsection}{\numberline {2.1}\IeC {\"U}berwachtes Lernen}{6}{subsection.2.1}%
|
||||
\contentsline {subsection}{\numberline {2.1}\IeC {\"U}berwachtes Lernen}{7}{subsection.2.1}%
|
||||
\defcounter {refsection}{0}\relax
|
||||
\contentsline {subsection}{\numberline {2.2}Un\IeC {\"u}berwachtes Lernen}{6}{subsection.2.2}%
|
||||
\contentsline {subsection}{\numberline {2.2}Un\IeC {\"u}berwachtes Lernen}{7}{subsection.2.2}%
|
||||
\defcounter {refsection}{0}\relax
|
||||
\contentsline {subsection}{\numberline {2.3}Best\IeC {\"a}rkendes Lernen}{6}{subsection.2.3}%
|
||||
\contentsline {subsection}{\numberline {2.3}Best\IeC {\"a}rkendes Lernen}{7}{subsection.2.3}%
|
||||
\defcounter {refsection}{0}\relax
|
||||
\contentsline {section}{\numberline {3}Neuronale Netze}{6}{section.3}%
|
||||
\contentsline {section}{\numberline {3}Neuronale Netze}{7}{section.3}%
|
||||
\defcounter {refsection}{0}\relax
|
||||
\contentsline {subsection}{\numberline {3.1}Maschinelles Lernen und menschliches Lernen}{7}{subsection.3.1}%
|
||||
\defcounter {refsection}{0}\relax
|
||||
\contentsline {subsection}{\numberline {3.2}Der Aufbau eines neuronalen Netzes}{8}{subsection.3.2}%
|
||||
\defcounter {refsection}{0}\relax
|
||||
\contentsline {subsection}{\numberline {3.3}Berechnung des Ausgabevektors}{9}{subsection.3.3}%
|
||||
\contentsline {subsection}{\numberline {3.3}Berechnung des Ausgabevektors}{8}{subsection.3.3}%
|
||||
\defcounter {refsection}{0}\relax
|
||||
\contentsline {subsection}{\numberline {3.4}Der Lernprozess}{11}{subsection.3.4}%
|
||||
\defcounter {refsection}{0}\relax
|
||||
\contentsline {subsection}{\numberline {3.5}Fehlerfunktionen}{11}{subsection.3.5}%
|
||||
\contentsline {subsection}{\numberline {3.5}Fehlerfunktionen}{12}{subsection.3.5}%
|
||||
\defcounter {refsection}{0}\relax
|
||||
\contentsline {subsubsection}{\numberline {3.5.1}MSE -- Durchschnittlicher quadratischer Fehler}{11}{subsubsection.3.5.1}%
|
||||
\contentsline {subsubsection}{\numberline {3.5.1}MSE -- Durchschnittlicher quadratischer Fehler}{12}{subsubsection.3.5.1}%
|
||||
\defcounter {refsection}{0}\relax
|
||||
\contentsline {subsubsection}{\numberline {3.5.2}MAE -- Durchschnitztlicher absoluter Fehler}{12}{subsubsection.3.5.2}%
|
||||
\defcounter {refsection}{0}\relax
|
||||
\contentsline {subsubsection}{\numberline {3.5.3}Kreuzentropiefehler}{12}{subsubsection.3.5.3}%
|
||||
\contentsline {subsubsection}{\numberline {3.5.3}Kreuzentropiefehler}{13}{subsubsection.3.5.3}%
|
||||
\defcounter {refsection}{0}\relax
|
||||
\contentsline {subsection}{\numberline {3.6}Gradientenverfahren und Backpropagation}{13}{subsection.3.6}%
|
||||
\contentsline {subsection}{\numberline {3.6}Gradientenverfahren und Backpropagation}{14}{subsection.3.6}%
|
||||
\defcounter {refsection}{0}\relax
|
||||
\contentsline {subsubsection}{\numberline {3.6.1}Lernrate}{14}{subsubsection.3.6.1}%
|
||||
\contentsline {subsubsection}{\numberline {3.6.1}Lernrate}{15}{subsubsection.3.6.1}%
|
||||
\defcounter {refsection}{0}\relax
|
||||
\contentsline {subsection}{\numberline {3.7}Verschiedene Layerarten}{14}{subsection.3.7}%
|
||||
\contentsline {subsection}{\numberline {3.7}Verschiedene Layerarten}{16}{subsection.3.7}%
|
||||
\defcounter {refsection}{0}\relax
|
||||
\contentsline {subsubsection}{\numberline {3.7.1}Convolutional Layers}{15}{subsubsection.3.7.1}%
|
||||
\contentsline {subsubsection}{\numberline {3.7.1}Convolutional Layers}{16}{subsubsection.3.7.1}%
|
||||
\defcounter {refsection}{0}\relax
|
||||
\contentsline {subsubsection}{\numberline {3.7.2}Pooling Layers}{18}{subsubsection.3.7.2}%
|
||||
\defcounter {refsection}{0}\relax
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue