February 2024
Intermediate to advanced
456 pages
12h 6m
French
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CHAPITRE 5 Modèles autorégressifs
Objectifs du chapitre :
• Apprendre pourquoi les modèles autorégressifs sont bien adaptés à la génération de données séquentielles telles que les textes.
• Apprendre à traiter et à symboliser les données textuelles.
• Découvrir la conception architecturale des réseaux de neurones récurrents (RNN).
• Construire et entraîner un réseau LSTM en partant de zéro avec Keras.
• Utiliser un réseau LSTM pour générer un nouveau texte.
• Découvrir d’autres variantes des RNN, notamment les réseaux récurrents à portes (GRU) et les cellules bidirectionnelles.
• Comprendre comment les données d’une image peuvent être traitées sous la forme d’une séquence de pixels.
• Découvrir la conception architecturale de PixelCNN.
• Implémenter ...
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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.