February 2024
Intermediate to advanced
456 pages
12h 6m
French
Content preview from Deep learning génératifBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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CHAPITRE 11 Génération de musique
Objectifs du chapitre :
• Comprendre comment nous pouvons traiter la génération de musique comme un problème de prédiction de séquence, afin d’appliquer des modèles autorégressifs tels que le modèle Transformer.
• Découvrir comment analyser et tokeniser des fichiers MIDI à l’aide du package music21 afin de créer un jeu de données d’entraînement.
• Apprendre à utiliser l’encodage positionnel employant un sinus.
• Entraîner un modèle Transformer générant de la musique, avec plusieurs entrées et sorties pour gérer les notes et leur durée.
• Comprendre comment gérer la musique polyphonique, y compris la tokenisation de la grille et la tokenisation basée sur les événements.
• Entraîner un modèle MuseGAN pour générer ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.