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  • Backpropagation

    Theory, Architectures, and Applications

    Edited by Yves Chauvin, David E. Rumelhart ...
    Series series Developments in Connectionist Theory Series
    Composed of three sections, this book presents the most popular training algorithm for neural networks: backpropagation. The first section presents the theory and principles behind backpropagation as seen from different perspectives such as statistics, machine learning, and dynamical systems. The second presents a number of network architectures that may be designed to match the general concepts ... Read more

    $140.00 USD