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Progress in Data Science eBook Series

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  • Equivariant and Coordinate Independent Convolutional Networks

    A Gauge Field Theory of Neural Networks

    by Maurice Weiler, Patrick Forré, Erik Verlinde, Max Welling ...
    Series Book 1 - Progress in Data Science
    What is the appropriate geometric structure for neural networks that process spatial signals on Euclidean spaces or more general manifolds? This question takes us on a journey which leads to a gauge field theory of convolutional networks.Feature vector fields: The spatial signals we are interested in are fields of feature vectors. Feature fields allow to describe data like images, audio, videos, ... Read more

    $154.19 CAD