t-SNE visualization of CNN codesI took 50,000 ILSVRC 2012 validation images, extracted the 4096-dimensional fc7 CNN (Convolutional Neural Network) features using Caffe and then used Barnes-Hut t-SNE to compute a 2-dimensional embedding that respects the high-dimensional (L2) distances. In other words, t-SNE arranges images that have a similar CNN (fc7) code nearby in the embedding.
