An Efficient Technique for Size Reduction of Convolutional Neural Networks after Transfer Learning for Scene Recognition Tasks

An Efficient Technique for Size Reduction of Convolutional Neural Networks after Transfer Learning for Scene Recognition Tasks

A complex classification task as scene recognition is considered in the present research. Scene recognition tasks are successfully solved by the paradigm of transfer learning from pretrained convolutional neural networks, but a problem is that the eventual size of the network is huge despite a commo...

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Bibliographic Details
Main Author: Romanuke Vadim
Format: Article
Language:English
Published: Sciendo 2018-12-01
Series:Applied Computer Systems
Subjects:
alexnet
convolutional neural network
pretrained network
scene recognition
size reduction
transfer learning
truncated network
Online Access:https://doi.org/10.2478/acss-2018-0018

Internet

https://doi.org/10.2478/acss-2018-0018

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