Investigation of deep neural network with drop out for ultrasonic flaw classification in weldments

ImageNet classification with deep convolutional neural networks

Alex Krizhevsky, Ilya Sutskever, Geoffrey E. Hinton · Communications of the ACM · 2017 · 75.7K citations · Full text

Computing, Computer Science, Computer Vision +12

Dropout: a simple way to prevent neural networks from overfitting

Nitish Srivastava, Geoffrey E. Hinton, Alex Krizhevsky et al. · 2014 · 34.3K citations

Computing, Computer Science, Artificial Intelligence +12

Rectified Linear Units Improve Restricted Boltzmann Machines

Vinod Nair, Geoffrey E. Hinton · International Conference on Machine Learning · 2010 · 13.2K citations

Computing, Computer Science, Computer Vision +16

Improving neural networks by preventing co-adaptation of feature detectors

Geoffrey E. Hinton, Nitish Srivastava, Alex Krizhevsky et al. · arXiv (Cornell University) · 2012 · 6.7K citations · Full text

Computing, Computer Science, Artificial Intelligence +14

Automatic Defect Classification in Ultrasonic NDT Using Artificial Intelligence

Sanjith Sambath, P. Nagaraj, N. Selvakumar · Journal of Nondestructive Evaluation · 2010 · 170 citations

Computing, Computer Engineering, Computer Science +14