Residual neural networks

tags
Neural networks, Convolutional neural networks, Computer vision
resources
(He et al. 2016)

Residual neural networks are neural networks with skip-connections (or shortcuts, residual connections) that will bypass some of the networks operations in depth.

Bibliography

1. . . "Deep Residual Learning for Image Recognition". In 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 770–78. Las Vegas, NV, USA: IEEE. DOI.
2. . . "Highway Networks". Arxiv:1505.00387 [cs]. http://arxiv.org/abs/1505.00387.
3. . n.d.. "Densely Connected Convolutional Networks", 9.