Channel Pruning of Transfer Learning Models Using Novel Techniques

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

Internet

https://ieeexplore.ieee.org/document/10565832/

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