3D deep learning visualization with t-SNE

The video clip demonstrates a convolutional neural community studying to discrimintate unique handwritten figures from the MNIST database. Each individual handwritten check case in point is color coded by it is numerical digit (one-ten). As time progresses, the community learns to better independent representations of the ten unique digits. The closing separation corresponds to ninety six% precision.