Small and Slim Deep Convolutional Neural Network for Mobile Device

Small and Slim Deep Convolutional Neural Network for Mobile Device

Recent development of deep convolutional neural networks (DCNN) devoted in creating a slim model for devices with lower specification such as embedded, mobile hardware, or microcomputer. Slim model can be achieved by minimizing computational complexity which theoretically will make processing time f...

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Bibliographic Details
Main Authors: Amadeus Suryo Winoto, Michael Kristianus, Chinthaka Premachandra
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Artificial neural network
image recognition
machine learning
deep learning
Online Access:https://ieeexplore.ieee.org/document/9126546/

Internet

https://ieeexplore.ieee.org/document/9126546/

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