| [1] |
KRIZHEVSKY A, SUTSKEVER I, HINTON G E . ImageNet Classification with Deep Convolutional Neural Networks[J]. Communications of the ACM, 2017,60(6):84-90.
|
| [2] |
SZEGEDY C, LIU W, JIA Y , et al. Going Deeper with Convolutions[C]// Proceedings of the 2015 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Washington: IEEE Computer Society, 2015: 1-9.
|
| [3] |
JIA D, WEI D, SOCHER R , et al. ImageNet: a Large-scale Hierarchical Image Database[C]// Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Washington: IEEE Computer Society, 2009: 248-255.
|
| [4] |
SZEGEDY C, VANHOUCKE V, IOFFE S , et al. Rethinking the Inception Architecture for Computer Vision[C]// Proceedings of the 2016 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Washington: IEEE Computer Society, 2016: 2818-2826.
|
| [5] |
HU J, SHEN L, SUN G . Squeeze-and-excitation Networks[C]// Proceedings of the 2018 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Washington: IEEE Computer Society, 2018: 7132-7141.
|
| [6] |
李勇, 成红红, 梁新彦 , 等. CNN图像标题生成[J]. 西安电子科技大学学报, 2019,46(2):152-157.
|
|
LI Yong, CHENG Honghong, LIANG Xinyan , et al. CNN Image Caption Generation[J]. Journal of Xidian University, 2019,46(2):152-157.
|
| [7] |
张金刚, 方圆, 袁豪 , 等. 一种识别表情序列的卷积神经网络[J]. 西安电子科技大学学报, 2018,45(1):150-155.
|
|
ZHANG Jingang, FANG Yuan, YUAN Hao , et al. Multiple Convolutional Neural Networks for Facial Expression Sequence Recognition[J]. Journal of Xidian University, 2018,45(1):150-155.
|
| [8] |
ARORA S, BHASKARA A, GE R , et al. Provable Bounds for Learning Some Deep Representations[C]// Proceedings of the 2014 31st International Conference on Machine Learning. Lille: International Machine Learning Society, 2014: 883-891.
|
| [9] |
LIN M, CHEN Q, YAN S . Network in Network[C]// Conference Track Proceedings of the 2014 2nd International Conference on Learning Representations. San Diego: International Conference on Learning Representations, 2014: 149797.
|
| [10] |
GLOROT X, BENGIO Y . Understanding the Difficulty of Training Deep Feedforward Neural Networks[J]. Journal of Machine Learning Research, 2010,9:249-256.
|
| [11] |
NAIR V, HINTON G E . Rectified Linear Units Improve Restricted Boltzmann Machines[CP/OL]. [2019-10-12]. https://wenku.baidu.com/view/24321f5027d3240c8447ef78.html .
|
| [12] |
WANG M, LIU B, FOROOSH H . Factorized Convolutional Neural Networks[C]// Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops. Piscataway: IEEE, 2017: 545-553.
|
| [13] |
KLINE D M, BERARDI V L . Revisiting Squared-error and Cross-entropy Functions for Training Neural Network Classifiers[J]. Neural Computing and Applications, 2005,14(4):310-318.
|
| [14] |
WANG Y R, GAN W H, YANG J , et al. Dynamic Curriculum Learning for Imbalanced Data Classification[J/OL].[2019-01-21]. https://arxiv.org/abs/1901. 06783.
|
| [15] |
JASTRZęBSKI S, KENTON Z, ARPIT D , et al. Three Factors Influencing Minima in SGD[J/OL].[2018-09-13]. https://arxiv.org/abs/1711. 04623.
|
),QUAN Yining1,CHEN Yusheng2
