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UltraLightSqueezeNet: A Deep Learning Architecture for Malaria Classification with up to 54x fewer trainable parameters for resource constrained devices

Fuente: arXiv

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Détails bibliographiques
Auteurs principaux:	Nettur, Suresh Babu, Karpurapu, Shanthi, Nettur, Unnati, Gajja, Likhit Sagar, Myneni, Sravanthy, Dusi, Akhil, Posham, Lalithya
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning Artificial Intelligence Computer Vision and Pattern Recognition
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

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