Benchmark Analysis of Representative Deep Neural Network Architectures

Benchmark Analysis of Representative Deep Neural Network Architectures

This paper presents an in-depth analysis of the majority of the deep neural networks (DNNs) proposed in the state of the art for image recognition. For each DNN, multiple performance indices are observed, such as recognition accuracy, model complexity, computational complexity, memory usage, and inf...

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Bibliographic Details
Main Authors: Simone Bianco, Remi Cadene, Luigi Celona, Paolo Napoletano
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Deep neural networks
convolutional neural networks
image recognition
Online Access:https://ieeexplore.ieee.org/document/8506339/

Internet

https://ieeexplore.ieee.org/document/8506339/

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