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Metodo di regolazione fine per l’apprendimento profondo

Metodo di regolazione fine per l’apprendimento profondo

Diwakar Padalia / Richa Tripathi

55,54 €
IVA incluido
Disponible
Editorial:
KS OmniScriptum Publishing
Año de edición:
2024
Materia
Informática: cuestiones generales
ISBN:
9786208110291
55,54 €
IVA incluido
Disponible

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Questo libro ha come obiettivo il rilevamento delle inondazioni per riconoscere le fotografie relative alle inondazioni dai media basati sul web. Queste fotografie, correlate alle rispettive aree geologiche, possono fornire dati visivi gratuiti, ideali e affidabili sulle occasioni di alluvione a chi le giudica. Questa struttura di screening, destinata all’utilizzo di immagini multimediali basate sul web, incorpora alcuni moduli chiave: l’informatizzazione di tweet/immagini, la scoperta di fotografie di inondazioni e l’utilizzo di Web GIS per il controllo umano. In questa indagine, è stato costruito un set di dati di preparazione di 4800 fotografie di inondazioni, dipendente da un meccanismo di perfezionamento che utilizza il deep leaning (DL) creato e preparato per riconoscere le fotografie di inondazioni. La struttura è stata progettata in modo tale che la DL possa essere preparata nuovamente da un set di dati di preparazione più grande quando ulteriori fotografie di inondazioni confermate da esperti vengono aggiunte al set di preparazione in modo insistente.

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