Training Of A Neural Network For Object Recognition Using Error Backpropagation

Antonio Miguel de Campos; Margarida Machado

doi:10.1117/12.969959

1 February 1990 Training Of A Neural Network For Object Recognition Using Error Backpropagation

Antonio Miguel de Campos, Margarida Machado

Proceedings Volume 1197, Automated Inspection and High-Speed Vision Architectures III; (1990) https://doi.org/10.1117/12.969959
Event: 1989 Symposium on Visual Communications, Image Processing, and Intelligent Robotics Systems, 1989, Philadelphia, PA, United States

Abstract

In the work presented in this paper, graphical representations showing the typical evolution of the mapping function of the various neurons in a three-layered feed-forward network, are used to help gaining the necessary insight to error backpropagation training. The study of the learning behaviour of a simple object classifier is presented, and commented.

Citation Download Citation

Antonio Miguel de Campos and Margarida Machado "Training Of A Neural Network For Object Recognition Using Error Backpropagation", Proc. SPIE 1197, Automated Inspection and High-Speed Vision Architectures III, (1 February 1990); https://doi.org/10.1117/12.969959

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