References

1. Maeda S, Ono M, Kubota H, Nakatani M (1999) Precise detection of shortcircuit defects on tft substrate by infrared image matching. Systems and Computers in Japan 30: 72-84. View
2. Numada M, Koshimizu H (2009) A method for detecting globally distributed defects by using learning with mahalanobis distance. Journal of the Japan Society for Precision Engineering 75: 262-266. View
3. Shiina T, Iwahori Y, Takada Y, Kijsirikul B, Bhuyan M, et al. (2018) Reducing misclassification of true defects in defect classification of electronic board. Computer and Information Science 719: 77. View
4. Takada Y, Usami H, Shiina T, Iwahori Y, Bhuyan M (2017) Defect detection and classification of electronic circuit boards using keypoint extraction and cnn features. View
5. Vapnik V (1998) Statistical learning theory. Wiley, New York.
6. Zbontar J, LeCun Y (2016) Stereo matching by training a convolutional neural network to compare image patches. Journal of Machine Learning Research 17: 1-32. View
7. Oktay O, Bai W, Lee M, Guerrero R, Kamnitsas K, et al. (2016) Multiinput cardiac image super-resolution using convolutional neural networks. International Conference on Medical Image Computing and Computer- Assisted Intervention. Springer. View
8. Cheng D, Gong Y, Zhou S, Wang J, Zheng N, et al. (2016) Person reidentification by multi-channel parts-based cnn with improved triplet loss function. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. View
9. Sun Y, Zhu L, Wang G, Zhao F (2017) Multi-input convolutional neural network for flower grading. Journal of Electrical and Computer Engineering. View
10. Krizhevsky A, Sutskever I, Hinton GE (2012) Imagenet classification with deep convolutional neural networks. Advances in neural information processing systems. View
11. Russakovsky O, Deng J, Su H, Krause J, Satheesh S, et al. (2015) Imagenet large scale visual recognition challenge. International Journal of Computer Vision 115: 211-252. View
12. Chollet F (2015) Keras. View
13. Kingma DP, Ba J (2015) Adam: A method for stochastic optimization. arXiv preprint. View
14. Deng J, Dong W, Socher R, Li LJ, Li K, et al. (2009) Imagenet: A large-scale hierarchical image database. Computer Vision and Pattern Recognition. CVPR. IEEE Conference on Ieee. View
15. Simonyan K, Zisserman A (2014) Very deep convolutional networks for large-scale image recognition. arXiv preprint. View