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Réseau neuronal pour la reconnaissance des formes
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ISBN10: 6208394597
ISBN13: 9786208394592
Publisher: Editions Notre Savoir
Published: Dec 24 2024
Pages: 52
Weight: 0.20
Height: 0.12 Width: 6.00 Depth: 9.00
Language: French
ISBN13: 9786208394592
Publisher: Editions Notre Savoir
Published: Dec 24 2024
Pages: 52
Weight: 0.20
Height: 0.12 Width: 6.00 Depth: 9.00
Language: French
Selon la célèbre citation de Margaret Heffernan: Une grande partie de la créativité est liée à la reconnaissance des formes, et ce dont vous avez besoin pour discerner les formes, ce sont des tonnes de données. Votre esprit recueille ces données en prenant note de détails aléatoires et d'anomalies facilement observables au quotidien: des bizarreries et des changements qui, au bout du compte, se transforment en idées. La reconnaissance des formes nous aide à identifier presque tout dans la vie quotidienne. Il s'agit non seulement d'un phénomène naturel pour les êtres vivants, mais aussi d'un aspect important pour l'intelligence artificielle. Elle est la clé du développement dans tous les domaines tels que le diagnostic médical (ECG), la technologie (reconnaissance des visages, reconnaissance des empreintes digitales, balayage de la rétine), la défense (reconnaissance automatisée de cibles comme les bombes guidées par laser et segmentation et analyse d'images à partir de clichés aériens), etc. Il existe plusieurs méthodologies de reconnaissance des formes, telles que la correspondance des modèles, l'approche statistique, etc., mais on dit que le meilleur moyen d'obtenir un processus naturel est d'imiter la nature. Est-ce le cas ? Le réseau neuronal est-il meilleur que d'autres approches ?
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