praca-magisterska/docs/document.toc

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\contentsline {chapter}{Streszczenie}{7}%
\contentsline {chapter}{Abstract}{9}%
\contentsline {chapter}{Rozdzia\PlPrIeC {\l }\ 1\relax .\leavevmode@ifvmode \kern .5em Wst\IeC {\k e}p}{11}%
\contentsline {section}{\numberline {1.1\relax .\leavevmode@ifvmode \kern .5em }Zastosowania uczenia maszynowego w muzyce}{11}%
\contentsline {section}{\numberline {1.2\relax .\leavevmode@ifvmode \kern .5em }Modele generatywne}{11}%
\contentsline {section}{\numberline {1.3\relax .\leavevmode@ifvmode \kern .5em }Muzyka symboliczna, a muzyka}{11}%
\contentsline {section}{\numberline {1.4\relax .\leavevmode@ifvmode \kern .5em }Cele tej pracy.}{12}%
\contentsline {chapter}{Rozdzia\PlPrIeC {\l }\ 2\relax .\leavevmode@ifvmode \kern .5em Reprezentacja muzyki}{13}%
\contentsline {section}{\numberline {2.1\relax .\leavevmode@ifvmode \kern .5em }Podstawowe koncepcje}{13}%
\contentsline {subsection}{\numberline {2.1.1\relax .\leavevmode@ifvmode \kern .5em }Nuta}{13}%
\contentsline {subsection}{\numberline {2.1.2\relax .\leavevmode@ifvmode \kern .5em }Skala}{13}%
\contentsline {subsection}{\numberline {2.1.3\relax .\leavevmode@ifvmode \kern .5em }Akord}{13}%
\contentsline {subsection}{\numberline {2.1.4\relax .\leavevmode@ifvmode \kern .5em }Utw\IeC {\'o}r}{14}%
\contentsline {section}{\numberline {2.2\relax .\leavevmode@ifvmode \kern .5em }Reprezentacja muzyki}{14}%
\contentsline {subsection}{\numberline {2.2.1\relax .\leavevmode@ifvmode \kern .5em }Zapis klasyczny - pi\IeC {\k e}ciolinia}{14}%
\contentsline {subsection}{\numberline {2.2.2\relax .\leavevmode@ifvmode \kern .5em }Tabulatura}{14}%
\contentsline {subsection}{\numberline {2.2.3\relax .\leavevmode@ifvmode \kern .5em }Pianoroll}{14}%
\contentsline {subsection}{\numberline {2.2.4\relax .\leavevmode@ifvmode \kern .5em }Tekstowa}{15}%
\contentsline {chapter}{Rozdzia\PlPrIeC {\l }\ 3\relax .\leavevmode@ifvmode \kern .5em Sieci neuronowe}{17}%
\contentsline {subsection}{\numberline {3.0.1\relax .\leavevmode@ifvmode \kern .5em }Wst\IeC {\k e}p do sieci neuronowych, definicje wzory itp.}{17}%
\contentsline {subsection}{\numberline {3.0.2\relax .\leavevmode@ifvmode \kern .5em }Autoencodery}{17}%
\contentsline {subsection}{\numberline {3.0.3\relax .\leavevmode@ifvmode \kern .5em }LSTM}{17}%
\contentsline {subsection}{\numberline {3.0.4\relax .\leavevmode@ifvmode \kern .5em }GAN}{18}%
\contentsline {chapter}{Budowanie generatora muzyki}{19}%
\contentsline {subsection}{\numberline {3.0.5\relax .\leavevmode@ifvmode \kern .5em }Przygotowanie danych}{19}%
\contentsline {subsection}{\numberline {3.0.6\relax .\leavevmode@ifvmode \kern .5em }Architektura sieci neuronowej}{19}%
\contentsline {subsection}{\numberline {3.0.7\relax .\leavevmode@ifvmode \kern .5em }Proces treningowy}{19}%
\contentsline {subsection}{\numberline {3.0.8\relax .\leavevmode@ifvmode \kern .5em }Przyk\IeC {\l }ady wygenerowanej muzyki}{20}%
\contentsline {chapter}{Podsumowanie}{21}%
\contentsline {chapter}{Bibliografia}{23}%