Google is in the news this week with their trippy neural net visualizations they call inceptionism.
Inception was Google’s code name for a 22-layer deep convolutional neural network described in Christian Szegedy et al., Going Deeper with Convolutions, http://arxiv.org/abs/1409.4842 .
However, the idea for generating the trippy visualizations seems to have come from this paper which describes what they call saliency visualization:
- Karen Simonyan, Andrea Vedaldi, Andrew Zisserman, Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps, http://arxiv.org/abs/1312.6034.
The rest of this article suggests ideas for how a new visualization such as inceptionism could be added to neural2d.