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To generate this picture, I train the convolutional neural network on the fashion-MNIST dataset, use the trained network to extract 256-dimensional representations of each image in the dataset, then use UMAP to compress those representations down into 2 dimensions. UMAP internally maps the data points onto a graph, the edges of which are represented in this image. To generate the visual, I used a slightly modified version of the plot connectivity utility in the umap-learn python library.
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