Methodologies of Compressing a Stable Performance Convolutional Neural Networks in Image Classification

Volume: 51, Issue: 1, Pages: 105 - 127
Published: Jul 20, 2019
Abstract
Deep learning has made a real revolution in the embedded computing environment. Convolutional neural network (CNN) revealed itself as a reliable fit to many emerging problems. The next step, is to enhance the CNN role in the embedded devices including both implementation details and performance. Resources needs of storage and computational ability are limited and constrained, resulting in key issues we have to consider in embedded devices....
Paper Details
Title
Methodologies of Compressing a Stable Performance Convolutional Neural Networks in Image Classification
Published Date
Jul 20, 2019
Volume
51
Issue
1
Pages
105 - 127
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