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PROGRESS IN DATA SCIENCE – serie

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2 produkter

  1. Maurice Weiler, Patrick Forré, Erik Verlinde, Max Welling - EQUIVARIANT AND COORDINATE INDEPENDENT CONVOLUTIONAL NETWORKS: A GAUGE FIELD THEORY OF NEURAL NETWORKS, Inbunden. Tillgänglighet: Lägg i varukorg

    EQUIVARIANT AND COORDINATE INDEPENDENT CONVOLUTIONAL NETWORKS: A GAUGE FIELD THEORY OF NEURAL NETWORKS

    Av Maurice Weiler, Patrick Forré m. fl.

    Inbunden, 2026

    2536 kr

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    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 …

  2. Rongjie Lai, Xiangxiong Zhang - UBIQUITOUS LAPLACIAN: AN INTRODUCTION TO NUMERICAL PDES WITH APPLICATIONS IN DATA SCIENCE, Inbunden. Tillgänglighet: Lägg i varukorg

    UBIQUITOUS LAPLACIAN: AN INTRODUCTION TO NUMERICAL PDES WITH APPLICATIONS IN DATA SCIENCE

    Av Rongjie Lai, Xiangxiong Zhang

    Inbunden, 2026

    1571 kr

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    This book is designed for graduate students in applied and computational mathematics and is also accessible to students in engineering and computer science. It serves as a textbook for an introductory graduate-level course on numerical methods for solving partial differential equations (PDEs), with …