Image based fruit category classification by 13-layer deep convolutional neural network and data augmentation

Multimedia Tools and Applications

Volumn 78, Issue 3, 2019, Pages 3613-3632

  Zhang, Yu Dong ^a,b   Dong, Zhengchao ^c   Chen, Xianqing ^d   Jia, Wenjuan ^e   Du, Sidan ^f   Muhammad, Khan ^g   Wang, Shui Hua ^a  

^a HENAN POLYTECHNIC UNIVERSITY   (China)

^b Jiangsu Digital Manufacture Technology Main Lab   (China)

^c NEW YORK STATE PSYCHIATRIC INSTITUTE   (United States)

^d ZHEJIANG NORMAL UNIVERSITY   (China)

^e NANJING NORMAL UNIVERSITY   (China)

^f NANJING UNIVERSITY   (China)

^g Sejong University   (South Korea)

Author keywords

Convolutional neural network; Fruit category identification; Fully connected layer; Softmax

Indexed keywords

CONVOLUTION; FRUITS; IMAGE CLASSIFICATION; NEURAL NETWORKS; STOCHASTIC SYSTEMS; STRUCTURAL OPTIMIZATION;

CATEGORY CLASSIFICATION; CONVOLUTIONAL NEURAL NETWORK; CONVOLUTIONAL NEURAL NETWORKS (CNN); DEEP CONVOLUTIONAL NEURAL NETWORKS; FULLY-CONNECTED LAYERS; SOFTMAX; STATE-OF-THE-ART APPROACH; STOCHASTIC GRADIENT DESCENT;

DEEP NEURAL NETWORKS;

EID: 85030174593     PISSN: 13807501     EISSN: 15737721     Source Type: Journal    
DOI: 10.1007/s11042-017-5243-3     Document Type: Article

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