50 lines
5.2 KiB
TeX
50 lines
5.2 KiB
TeX
\contentsline {chapter}{Streszczenie}{7}%
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\contentsline {chapter}{Abstract}{9}%
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\contentsline {chapter}{Wst\IeC {\k e}p}{11}%
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\contentsline {chapter}{Rozdzia\PlPrIeC {\l }\ 1\relax .\leavevmode@ifvmode \kern .5em Wprowadzenie do sieci neuronowych}{13}%
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\contentsline {section}{\numberline {1.1\relax .\leavevmode@ifvmode \kern .5em }Regresja liniowa}{13}%
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\contentsline {section}{\numberline {1.2\relax .\leavevmode@ifvmode \kern .5em }Uczenie modelu}{14}%
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\contentsline {subsection}{\numberline {1.2.1\relax .\leavevmode@ifvmode \kern .5em }Funkcja kosztu}{15}%
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\contentsline {subsection}{\numberline {1.2.2\relax .\leavevmode@ifvmode \kern .5em }Znajdowanie minimum funkcji}{15}%
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\contentsline {subsection}{\numberline {1.2.3\relax .\leavevmode@ifvmode \kern .5em }Metody gradientowe}{15}%
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\contentsline {section}{\numberline {1.3\relax .\leavevmode@ifvmode \kern .5em }Regresja liniowa jako model sieci neuronowej}{17}%
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\contentsline {section}{\numberline {1.4\relax .\leavevmode@ifvmode \kern .5em }Funkcje aktywacji}{19}%
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\contentsline {section}{\numberline {1.5\relax .\leavevmode@ifvmode \kern .5em }Wielowarstwowe sieci neuronowe}{20}%
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\contentsline {subsection}{\numberline {1.5.1\relax .\leavevmode@ifvmode \kern .5em }Jednokierunkowe sieci neuronowe}{21}%
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\contentsline {subsection}{\numberline {1.5.2\relax .\leavevmode@ifvmode \kern .5em }Autoenkoder}{21}%
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\contentsline {subsection}{\numberline {1.5.3\relax .\leavevmode@ifvmode \kern .5em }Rekurencyjne sieci neuronowe}{22}%
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\contentsline {subsection}{\numberline {1.5.4\relax .\leavevmode@ifvmode \kern .5em }LSTM}{23}%
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\contentsline {subsection}{\numberline {1.5.5\relax .\leavevmode@ifvmode \kern .5em }Sequence-to-sequence}{25}%
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\contentsline {chapter}{Rozdzia\PlPrIeC {\l }\ 2\relax .\leavevmode@ifvmode \kern .5em Wprowadzenie do teorii muzyki}{27}%
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\contentsline {section}{\numberline {2.1\relax .\leavevmode@ifvmode \kern .5em }Podstawowe koncepcje muzyczne}{27}%
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\contentsline {subsection}{\numberline {2.1.1\relax .\leavevmode@ifvmode \kern .5em }D\IeC {\'z}wi\IeC {\k e}k muzyczny}{27}%
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\contentsline {subsection}{\numberline {2.1.2\relax .\leavevmode@ifvmode \kern .5em }Sygna\IeC {\l } d\IeC {\'z}wi\IeC {\k e}kowy}{27}%
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\contentsline {subsection}{\numberline {2.1.3\relax .\leavevmode@ifvmode \kern .5em }Zapis nutowy}{27}%
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\contentsline {section}{\numberline {2.2\relax .\leavevmode@ifvmode \kern .5em }Cyfrowa reprezentacja muzyki symbolicznej}{31}%
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\contentsline {subsection}{\numberline {2.2.1\relax .\leavevmode@ifvmode \kern .5em }Standard MIDI}{31}%
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\contentsline {chapter}{Rozdzia\PlPrIeC {\l }\ 3\relax .\leavevmode@ifvmode \kern .5em Projekt}{35}%
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\contentsline {section}{\numberline {3.1\relax .\leavevmode@ifvmode \kern .5em }Koncepcja}{35}%
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\contentsline {section}{\numberline {3.2\relax .\leavevmode@ifvmode \kern .5em }Wst\IeC {\k e}pne przygotowanie danych do treningu}{36}%
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\contentsline {subsection}{\numberline {3.2.1\relax .\leavevmode@ifvmode \kern .5em }Muzyczne s\IeC {\l }owo}{36}%
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\contentsline {subsection}{\numberline {3.2.2\relax .\leavevmode@ifvmode \kern .5em }Konwersja MIDI na sekwencje s\IeC {\l }\IeC {\'o}w muzycznych}{36}%
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\contentsline {subsection}{\numberline {3.2.3\relax .\leavevmode@ifvmode \kern .5em }Inne aspekty przygotowania danych}{39}%
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\contentsline {subsection}{\numberline {3.2.4\relax .\leavevmode@ifvmode \kern .5em }Podzia\IeC {\l } danych na dane wej\IeC {\'s}ciowe i wyj\IeC {\'s}ciowe}{40}%
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\contentsline {subsection}{\numberline {3.2.5\relax .\leavevmode@ifvmode \kern .5em }Inne aspekty przygotowania zbioru ucz\IeC {\k a}cego}{42}%
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\contentsline {section}{\numberline {3.3\relax .\leavevmode@ifvmode \kern .5em }Definicja modelu}{44}%
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\contentsline {subsection}{\numberline {3.3.1\relax .\leavevmode@ifvmode \kern .5em }Model w trybie uczenia}{44}%
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\contentsline {subsection}{\numberline {3.3.2\relax .\leavevmode@ifvmode \kern .5em }Model w trybie wnioskowania}{46}%
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\contentsline {section}{\numberline {3.4\relax .\leavevmode@ifvmode \kern .5em }Transformacja danych dla modelu}{48}%
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\contentsline {subsection}{\numberline {3.4.1\relax .\leavevmode@ifvmode \kern .5em }Enkodowanie one-hot}{49}%
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\contentsline {subsection}{\numberline {3.4.2\relax .\leavevmode@ifvmode \kern .5em }S\IeC {\l }ownik}{49}%
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\contentsline {subsection}{\numberline {3.4.3\relax .\leavevmode@ifvmode \kern .5em }Elementy specjalne}{50}%
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\contentsline {subsection}{\numberline {3.4.4\relax .\leavevmode@ifvmode \kern .5em }Kodowanie sekwencji}{50}%
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\contentsline {section}{\numberline {3.5\relax .\leavevmode@ifvmode \kern .5em }Ekperyment}{51}%
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\contentsline {subsection}{\numberline {3.5.1\relax .\leavevmode@ifvmode \kern .5em }Oprogramowanie}{51}%
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\contentsline {subsection}{\numberline {3.5.2\relax .\leavevmode@ifvmode \kern .5em }Zbi\IeC {\'o}r danych}{52}%
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\contentsline {subsection}{\numberline {3.5.3\relax .\leavevmode@ifvmode \kern .5em }Wydobycie danych}{52}%
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\contentsline {subsection}{\numberline {3.5.4\relax .\leavevmode@ifvmode \kern .5em }Trenowanie modelu}{53}%
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\contentsline {subsection}{\numberline {3.5.5\relax .\leavevmode@ifvmode \kern .5em }Generowanie muzyki przy pomocy wytrenowanych modeli}{54}%
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\contentsline {subsection}{\numberline {3.5.6\relax .\leavevmode@ifvmode \kern .5em }Wyniki}{56}%
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\contentsline {chapter}{Podsumowanie}{61}%
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\contentsline {chapter}{Bibliografia}{63}%
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