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  1. Backpropagation

    Theory, Architectures, and Applications

    Edited by Yves Chauvin, David E. Rumelhart

    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...

    Published February 1st 1995 by Psychology Press

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