Výsledky vyhledávání - "Pragnesh Thaker"

Akademický článek

Enhancing Deep Compression of CNNs: A Novel Regularization Loss and the Impact of Distance Metrics

Publikováno v: IEEE Access, Vol 12, Pp 172537-172547 (2024)

Transfer learning models tackle two critical problems in deep learning. First, for small datasets, it reduces the problem of overfitting. Second, for large datasets, it reduces the computational cost as fewer iterations are required to train the mode

Externí odkaz: https://doaj.org/article/068852194fc44fd884860f48a6a59a85

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Akademický článek

Channel Pruning of Transfer Learning Models Using Novel Techniques

Autor: Pragnesh Thaker, Biju R. Mohan

Publikováno v: IEEE Access, Vol 12, Pp 94914-94925 (2024)

This research paper delves into the challenges associated with deep learning models, specifically focusing on transfer learning. Despite the effectiveness of widely used models such as VGGNet, ResNet, and GoogLeNet, their deployment on resource-const

Externí odkaz: https://doaj.org/article/e45c645f1caf4c91bc29eae38e469b3a

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