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[58 ] [59 ] [60 ] [61 ] [62 -] (/home/altarin/praca-magisterska/docs/document.ind) [63] (/home/altarin/praca-magisterska/docs/document.aux) ) +] +Underfull \hbox (badness 4072) in paragraph at lines 1636--1638 +\OT4/cmr/m/it/10.95 chi-ne Trans-la-tion in Ke-ras, machinelearningmastery.com/define-encoder- + [] + +(/home/altarin/praca-magisterska/docs/document.ind) [63] (/home/altarin/praca-magisterska/docs/document.aux) ) Here is how much of TeX's memory you used: 16823 strings out of 480478 312216 string characters out of 5905959 @@ -773,7 +793,7 @@ Here is how much of TeX's memory you used: 1141 hyphenation exceptions out of 8191 60i,12n,60p,1573b,1991s stack positions out of 5000i,500n,10000p,200000b,80000s {/usr/share/texmf-dist/fonts/enc/dvips/pl/plit.enc}{/usr/share/texmf-dist/fonts/enc/dvips/pl/pltt.enc}{/usr/share/texmf-dist/fonts/enc/dvips/pl/plrm.enc}{/usr/share/texmf-dist/fonts/enc/dvips/pl/plms.enc}{/usr/share/texmf-dist/fonts/enc/dvips/pl/plmi.enc}{/usr/share/texmf-dist/fonts/enc/dvips/pl/plme.enc}{/usr/share/texmf-dist/fonts/enc/dvips/pl/plsc.enc} -Output written on /home/altarin/praca-magisterska/docs/document.pdf (63 pages, 1241533 bytes). +Output written on /home/altarin/praca-magisterska/docs/document.pdf (63 pages, 1243484 bytes). PDF statistics: 351 PDF objects out of 1000 (max. 8388607) 218 compressed objects within 3 object streams diff --git a/docs/document.pdf b/docs/document.pdf index fdb59c8..de93e40 100644 Binary files a/docs/document.pdf and b/docs/document.pdf differ diff --git a/docs/document.synctex.gz b/docs/document.synctex.gz index 7144921..e085551 100644 Binary files a/docs/document.synctex.gz and b/docs/document.synctex.gz differ diff --git a/docs/document.tex b/docs/document.tex index 77c2112..f571b31 100644 --- a/docs/document.tex +++ b/docs/document.tex @@ -13,6 +13,7 @@ \usepackage{subfig} % \usepackage[T1]{fontenc} + \newcommand{\textoperatorname}[1]{ \operatorname{\textnormal{#1}} } @@ -97,11 +98,11 @@ \vspace{3cm} -\hspace{7.5cm}{Praca magisterska}\\[-12pt] +\hspace{6cm}{Praca magisterska}\\[-12pt] -\hspace{7.5cm}{napisana pod kierunkiem}\\[-12pt] +\hspace{6cm}{napisana pod kierunkiem}\\[-12pt] -\hspace{7.5cm}{dra hab. Tomasza Góreckiego} +\hspace{6cm}{prof. UAM dra hab. Tomasza Góreckiego} \vspace{2.2cm} @@ -116,7 +117,7 @@ \thispagestyle{empty} \begin{flushright} -PoznaÅ„, dnia 27.06.2020 +PoznaÅ„, dnia 30 czerwca 2020 \end{flushright} \vglue 2.4 cm @@ -127,11 +128,12 @@ PoznaÅ„, dnia 27.06.2020 \vglue 1.2 cm -Ja, niżej podpisany Cezary Pukownik, student WydziaÅ‚u Matematyki i Informatyki Uniwersytetu im. Adama Mickiewicza w Poznaniu oÅ›wiadczam, że przedkÅ‚adanÄ… pracÄ™ dyplomowÄ… pt: "Generowanie muzyki przy pomocy gÅ‚Ä™bokiego uczenia", napisaÅ‚em samodzielnie. Oznacza to, że przy pisaniu pracy, poza niezbÄ™dnymi konsultacjami, nie korzystaÅ‚em z pomocy innych osób, a w szczególnoÅ›ci nie zlecaÅ‚em opracowania rozprawy lub jej części innym osobom, ani nie odpisywaÅ‚em tej rozprawy lub jej części od innych osób. +Ja, niżej podpisany student Uniwersytetu im. Adama Mickiewicza w Poznaniu oÅ›wiadczam, że przedkÅ‚adanÄ… pracÄ™ dyplomowÄ… napisaÅ‚em samodzielnie. Oznacza to, że przy pisaniu pracy, poza niezbÄ™dnymi konsultacjami, nie korzystaÅ‚em z pomocy innych osób, a w szczególnoÅ›ci nie zlecaÅ‚em opracowania rozprawy lub jej części innym osobom ani +nie odpisywaÅ‚em tej rozprawy lub jej części od innych osób. -OÅ›wiadczam również, że egzemplarz pracy dyplomowej w wersji drukowanej jest caÅ‚kowicie zgodny z egzemplarzem pracy dyplomowej w wersji elektronicznej. +JednoczeÅ›nie przyjmujÄ™ do wiadomoÅ›ci, że przypisanie sobie w pracy dyplomowej autorstwa istotnego fragmentu lub innych elementów cudzego utworu lub ustalenia naukowego stanowi podstawÄ™ stwierdzenia nieważnoÅ›ci postÄ™powania administracyjnego w sprawie nadania tytuÅ‚u zawodowego. -JednoczeÅ›nie przyjmujÄ™ do wiadomoÅ›ci, że przypisanie sobie, w pracy dyplomowej, autorstwa istotnego fragmentu lub innych elementów cudzego utworu lub ustalenia naukowego stanowi podstawÄ™ stwierdzenia nieważnoÅ›ci postÄ™powania w sprawie nadania tytuÅ‚u zawodowego. +Ja, niżej podpisany student Uniwersytetu im. Adama Mickiewicza w Poznaniu oÅ›wiadczam, że egzemplarz pracy dyplomowej w wersji drukowanej jest caÅ‚kowicie zgodny z egzemplarzem pracy dyplomowej w wersji elektronicznej. \bigskip @@ -148,7 +150,6 @@ JednoczeÅ›nie przyjmujÄ™ do wiadomoÅ›ci, że przypisanie sobie, w pracy dyplomow \vglue 2 cm \hglue 6cm ............................................................ - % Koniec oÅ›wiadczenia % ####################################################### @@ -605,7 +606,7 @@ The rest of this chapter discusses an example of using the proposed model to gen \label{fig:note_len} \end{figure} - \footnotetext{https://www.infomusic.pl/poradnik/46934,poradnik-teoria-muzyki-rytm + \footnotetext{infomusic.pl/poradnik/46934,poradnik-teoria-muzyki-rytm \newline 5 kwietnia 2020 12:46} @@ -648,7 +649,7 @@ The rest of this chapter discusses an example of using the proposed model to gen \label{fig:pieciolinia} \end{figure} - \footnotetext{https://amplitudaschool.weebly.com/lekcja-11.html 5 kwietnia 2020 13:24} + \footnotetext{amplitudaschool.weebly.com/lekcja-11 5 kwietnia 2020 13:24} \subsubsection{InterwaÅ‚} O interwaÅ‚ach mówimy kiedy porównujemy ze sobÄ… dwie nuty. InterwaÅ‚ jest to odlegÅ‚ość miÄ™dzy nutami liczona w półnutach. Półnuta jest to najmniejsza odlegÅ‚ość miÄ™dzy nutami we współczesnej notacji muzycznej. Oktawa jest podzielona na 12 równych części. PomiÄ™dzy dźwiÄ™kami C i D jest odlegÅ‚ość @@ -748,7 +749,8 @@ note_on channel=0 note=60 velocity=0 time=0 % https://www.midi.org/specifications-old/item/gm-level-1-sound-set - \footnotetext{https://alchetron.com/ 16 czerwca 2020 8:23} + \footnotetext{alchetron.com/General-MIDI\#general-midi-d016a071-b750-46c2-8828-926e6d2aa12 + -resize-750.png 16 czerwca 2020 8:23} % https://alchetron.com/General-MIDI#general-midi-d016a071-b750-46c2-8828-926e6d2aa12-resize-750.png \subsubsection{Åšcieżka} @@ -1137,7 +1139,8 @@ Aby otrzymać model gotowy do procesu uczenia należy poÅ‚Ä…czyć ze sobÄ… enkod \label{fig:training-model} \end{figure} -\footnotetext{machinelearningmastery.com 16 czerwca 2020 06:24} +\footnotetext{machinelearningmastery.com/define-encoder-decoder-sequence-sequence-model-neural- +machine-translation-keras 16 czerwca 2020 6:24} \begin{python} self.train_model = @@ -1187,11 +1190,12 @@ self.decoder_model = Model( \begin{figure}[!htb] \centering \includegraphics[width=\linewidth]{images/inference-decoder-graph.png} - \caption[]{Model seq2seq w trybie uczenia\footnotemark} + \caption[]{Model seq2seq w trybie wnioskowania\footnotemark} \label{fig:inference-decoder} \end{figure} -\footnotetext{machinelearningmastery.com 16 czerwca 2020 06:24} +\footnotetext{machinelearningmastery.com/define-encoder-decoder-sequence-sequence-model-neural- +machine-translation-keras 16 czerwca 2020 6:24} DziÄ™ki takiej definicji jesteÅ›my w stanie w pÄ™tli przewidywać nastÄ™pne elementy do momentu osiÄ…gniÄ™cia warunku stopu. Implementacja tego procesu wyglÄ…da tak: @@ -1629,25 +1633,29 @@ Na rysunku~\ref{fig:score100} i rysunku~\ref{fig:score150} przedstawiono odpowie \bibitem{survay} Briot, J.P., Hadjeres, G., Pachet, F.D. (2019): {\em Deep Learning Techniques for Music Generation - A Survey. arXiv:1709.01620v3} -\bibitem{seq2seq-keras} Brownlee, J. (2017): {\em How to Develop a Seq2Seq Model for Neural Machine Translation in Keras, machinelearningmastery.com} +\bibitem{seq2seq-keras} Brownlee, J. (2017): {\em How to Develop a Seq2Seq Model for Neural Machine Translation in Keras, machinelearningmastery.com/define-encoder- +decoder-sequence-sequence-model-neural-machine-translation-keras, 16 czerwca 2020 06:24} -\bibitem{onehot} DeepAI (2019): {\em One Hot Encoding, deepai.org} +\bibitem{onehot} DeepAI (2019): {\em One Hot Encoding Definition, deepai.org/machine-learning- +glossary-and-terms/one-hot-encoding, 12 czerwca 2020 18:52} \bibitem{handson} Géron, A. (2019): {\em Hands-on machine learning with scikit-learn, keras and TensorFlow. O'Reilly.} \bibitem{deep_learning} Goodfellow, I., Bengio, Y., Courville, A. (2016): {\em Deep Learning. MIT Press.} -\bibitem{keras} Keras Team, (2020): {\em Keras: the Python deep learning API, keras.io} +\bibitem{keras} Keras Team, (2020): {\em Keras API reference, keras.io/api, 17 sierpnia 2019 12:34 } -\bibitem{seq2seq} Kostadinov, S. (2019): {\em Understanding Encoder-Decoder Sequence to Sequence Model, towardsdatascience.com} +\bibitem{seq2seq} Kostadinov, S. (2019): {\em Understanding Encoder-Decoder Sequence to Sequence Model, towardsdatascience.com/understanding-encoder-decoder-sequence-to- +sequence, 15 maja 2020 15:34} \bibitem{analiza_mat} Krysicki, W., WÅ‚odarski, L. (1999): {\em Analiza matematyczna w zadaniach, PWN.} -\bibitem{pretty_midi} Raffel, C. (2020): {\em pretty\textunderscore midi, pypi.org} +\bibitem{pretty_midi} Raffel, C. (2020): {\em pretty\textunderscore midi, pypi.org/project/pretty\textunderscore midi, 15 maja 2020 9:37 } \bibitem{statystyka} Sobczyk, M. (2006): {\em Statystyka. UMCS.} -\bibitem{tempos} Swinney, A. (2020): {\em What is a tempo marking?, classicalmusiccity.com} +\bibitem{tempos} Swinney, A. (2020): {\em What is a tempo marking?, classicalmusiccity.com/search/ +article.php?vars=446/Basic-Tempo-Markings.html, 5 kwietnia 2020 19:37} \bibitem{deep_learning_2} Zocca, V., Spacagna, G., Slater, D., Roelants, P. (2018): {\em Deep Learning. Uczenie gÅ‚Ä™bokie z jÄ™zykiem Python. Helion.}