clara/pytorch-ai
1
0
Fork 0
Code Issues 1 Pull requests Projects Releases Packages Wiki Activity Actions

completed "Layer Types" section

Browse source
This commit is contained in:
Clemens Dautermann 2020-01-17 23:28:10 +01:00
parent aaafd4b6f9
commit f20007b599
23 changed files with 389 additions and 131 deletions
Download patch file Download diff file Expand all files Collapse all files

32
doc/Grundlagen_des_maschinellen_lernens.toc
View file

@ -49,34 +49,34 @@
\defcounter {refsection}{0}\relax
\contentsline {subsubsection}{\numberline {3.7.1}Convolutional Layers}{13}{subsubsection.3.7.1}%
\defcounter {refsection}{0}\relax
\contentsline {subsubsection}{\numberline {3.7.2}Pooling Layers}{16}{subsubsection.3.7.2}%
\contentsline {subsubsection}{\numberline {3.7.2}Pooling Layers}{15}{subsubsection.3.7.2}%
\defcounter {refsection}{0}\relax
\contentsline {section}{\numberline {4}PyTorch}{16}{section.4}%
\contentsline {section}{\numberline {4}PyTorch}{18}{section.4}%
\defcounter {refsection}{0}\relax
\contentsline {subsection}{\numberline {4.1}Datenvorbereitung}{16}{subsection.4.1}%
\contentsline {subsection}{\numberline {4.1}Datenvorbereitung}{18}{subsection.4.1}%
\defcounter {refsection}{0}\relax
\contentsline {subsection}{\numberline {4.2}Definieren des Netzes}{16}{subsection.4.2}%
\contentsline {subsection}{\numberline {4.2}Definieren des Netzes}{18}{subsection.4.2}%
\defcounter {refsection}{0}\relax
\contentsline {subsection}{\numberline {4.3}Trainieren des Netzes}{16}{subsection.4.3}%
\contentsline {subsection}{\numberline {4.3}Trainieren des Netzes}{18}{subsection.4.3}%
\defcounter {refsection}{0}\relax
\contentsline {section}{\numberline {5}Fallbeispiel I:\newline Ein Klassifizierungsnetzwerk f\IeC {\"u}r handgeschriebene Ziffern}{16}{section.5}%
\contentsline {section}{\numberline {5}Fallbeispiel I:\newline Ein Klassifizierungsnetzwerk f\IeC {\"u}r handgeschriebene Ziffern}{18}{section.5}%
\defcounter {refsection}{0}\relax
\contentsline {subsection}{\numberline {5.1}Aufgabe}{16}{subsection.5.1}%
\contentsline {subsection}{\numberline {5.1}Aufgabe}{18}{subsection.5.1}%
\defcounter {refsection}{0}\relax
\contentsline {subsection}{\numberline {5.2}Der MNIST Datensatz}{16}{subsection.5.2}%
\contentsline {subsection}{\numberline {5.2}Der MNIST Datensatz}{18}{subsection.5.2}%
\defcounter {refsection}{0}\relax
\contentsline {subsection}{\numberline {5.3}Fragmentbasierte Erkennung}{16}{subsection.5.3}%
\contentsline {subsection}{\numberline {5.3}Fragmentbasierte Erkennung}{18}{subsection.5.3}%
\defcounter {refsection}{0}\relax
\contentsline {subsection}{\numberline {5.4}Ergebnis}{16}{subsection.5.4}%
\contentsline {subsection}{\numberline {5.4}Ergebnis}{18}{subsection.5.4}%
\defcounter {refsection}{0}\relax
\contentsline {section}{\numberline {6}Fallbeispiel II:\newline Eine selbsttrainierende KI f\IeC {\"u}r Tic-Tac-Toe}{16}{section.6}%
\contentsline {section}{\numberline {6}Fallbeispiel II:\newline Eine selbsttrainierende KI f\IeC {\"u}r Tic-Tac-Toe}{18}{section.6}%
\defcounter {refsection}{0}\relax
\contentsline {subsection}{\numberline {6.1}Das Prinzip}{16}{subsection.6.1}%
\contentsline {subsection}{\numberline {6.1}Das Prinzip}{18}{subsection.6.1}%
\defcounter {refsection}{0}\relax
\contentsline {subsection}{\numberline {6.2}Chance-Tree Optimierung}{16}{subsection.6.2}%
\contentsline {subsection}{\numberline {6.2}Chance-Tree Optimierung}{18}{subsection.6.2}%
\defcounter {refsection}{0}\relax
\contentsline {subsection}{\numberline {6.3}L\IeC {\"o}sung mittels eines neuronalen Netzes}{16}{subsection.6.3}%
\contentsline {subsection}{\numberline {6.3}L\IeC {\"o}sung mittels eines neuronalen Netzes}{18}{subsection.6.3}%
\defcounter {refsection}{0}\relax
\contentsline {subsection}{\numberline {6.4}Vergleich}{16}{subsection.6.4}%
\contentsline {subsection}{\numberline {6.4}Vergleich}{18}{subsection.6.4}%
\defcounter {refsection}{0}\relax
\contentsline {section}{\numberline {7}Schlusswort}{16}{section.7}%
\contentsline {section}{\numberline {7}Schlusswort}{18}{section.7}%