Backpropagation: Theory, Architectures, and Applications by Yves Chauvin
English | February 3, 1995 | ISBN: 0805812598 | 576 pages | PDF | 14 MB
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.