Channel Pruning of Transfer Learning Models Using Novel Techniques

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-constrained devices is impeded by high memory bandwidth...

Cijeli opis

Bibliografski detalji

Glavni autori:	Pragnesh Thaker, Biju R. Mohan
Format:	Artigo
Jezik:	Inglês
Izdano:	IEEE 2024-01-01
Serija:	IEEE Access
Teme:	Deep compression of CNN channel pruning structured pruning neural network compression transfer learning
Online pristup:	https://ieeexplore.ieee.org/document/10565832/
Oznake:	Dodaj oznaku Bez oznaka, Budi prvi tko označuje ovaj zapis!