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Influence of covering the sample space. A) Binary masks of squares, circles, rectangles, and triangles and sparse sampling of the masks (sampling rate: 10-20%). B) Output of four NNs trained on either squares, circles, rectangles, or triangles when the sparse square, circle, rectangle, or triangle dataset is supplied as input. C) Output of a NN that was trained on all four shapes when the four sparse datasets are supplied as input.
