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The authors have extensive knowledge and experience in all related research, technical, performance, and business aspects. The book is suitable for students, practitioners, and researchers in the artificial intelligence, machine learning, and music creation domains. The reader does not require any prior knowledge about artificial neural networks, deep learning, or computer music. The text is fully supported with a comprehensive table of acronyms, bibliography, glossary, and index, and supplementary material is available from the authors' website.
The authors have extensive knowledge and experience in all related research, technical, performance, and business aspects. The book is suitable for students, practitioners, and researchers in the artificial intelligence, machine learning, and music creation domains. The reader does not require any prior knowledge about artificial neural networks, deep learning, or computer music. The text is fully supported with a comprehensive table of acronyms, bibliography, glossary, and index, and supplementary material is available from the authors' website.
Authors' analysis based on five dimensions: objective, representation, architecture, challenge, and strategy
Important application of deep learning, for AI researchers and composers
Research was conducted within the EU Flow Machines project
Erscheinungsjahr: | 2019 |
---|---|
Fachbereich: | Anwendungs-Software |
Genre: | Informatik, Mathematik, Medizin, Naturwissenschaften, Technik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Buch |
Inhalt: |
xxviii
284 S. 52 s/w Illustr. 91 farbige Illustr. 284 p. 143 illus. 91 illus. in color. |
ISBN-13: | 9783319701622 |
ISBN-10: | 3319701622 |
Sprache: | Englisch |
Herstellernummer: | 978-3-319-70162-2 |
Einband: | Gebunden |
Autor: |
Briot, Jean-Pierre
Pachet, François-David Hadjeres, Gaëtan |
Auflage: | 1st edition 2020 |
Hersteller: | Springer International Publishing |
Verantwortliche Person für die EU: | Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com |
Maße: | 241 x 160 x 23 mm |
Von/Mit: | Jean-Pierre Briot (u. a.) |
Erscheinungsdatum: | 20.11.2019 |
Gewicht: | 0,635 kg |
Authors' analysis based on five dimensions: objective, representation, architecture, challenge, and strategy
Important application of deep learning, for AI researchers and composers
Research was conducted within the EU Flow Machines project
Erscheinungsjahr: | 2019 |
---|---|
Fachbereich: | Anwendungs-Software |
Genre: | Informatik, Mathematik, Medizin, Naturwissenschaften, Technik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Buch |
Inhalt: |
xxviii
284 S. 52 s/w Illustr. 91 farbige Illustr. 284 p. 143 illus. 91 illus. in color. |
ISBN-13: | 9783319701622 |
ISBN-10: | 3319701622 |
Sprache: | Englisch |
Herstellernummer: | 978-3-319-70162-2 |
Einband: | Gebunden |
Autor: |
Briot, Jean-Pierre
Pachet, François-David Hadjeres, Gaëtan |
Auflage: | 1st edition 2020 |
Hersteller: | Springer International Publishing |
Verantwortliche Person für die EU: | Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com |
Maße: | 241 x 160 x 23 mm |
Von/Mit: | Jean-Pierre Briot (u. a.) |
Erscheinungsdatum: | 20.11.2019 |
Gewicht: | 0,635 kg |