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 2 Deep learning
Objectifs du chapitre :
• Découvrir les différents types de données non structurées qui peuvent être modélisées à l’aide du deep learning.
• Définir un réseau de neurones profond et comprendre comment il peut être utilisé pour modéliser des ensembles de données complexes.
• Construire un perceptron multicouche pour prédire le contenu d’une image.
• Améliorer les performances du modèle en utilisant des couches convolutives, des couches de dropout et des couches de normalisation par lots.
Commençons par une définition de base du deep learning :
Le deep learning ou apprentissage profond est une classe d’algorithmes d’apprentissage automatique qui utilise plusieurs couches superposées d’unités de traitement pour apprendre des ...
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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.