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...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Pragnesh Thaker, Biju R. Mohan
Format:	Article
Language:	English
Published:	IEEE 2024-01-01
Subjects:	Deep compression of CNN channel pruning structured pruning neural network compression transfer learning
Online Access:	https://ieeexplore.ieee.org/document/10565832/