𝔖 Bobbio Scriptorium
✦   LIBER   ✦

A neural network implementation of a saliency map model

✍ Scribed by Matthew de Brecht; Jun Saiki


Publisher
Elsevier Science
Year
2006
Tongue
English
Weight
788 KB
Volume
19
Category
Article
ISSN
0893-6080

No coin nor oath required. For personal study only.


πŸ“œ SIMILAR VOLUMES


An efficient concurrent implementation o
✍ R. Andonie; A. T. Chronopoulos; D. Grosu; H. Galmeanu πŸ“‚ Article πŸ“… 2006 πŸ› John Wiley and Sons 🌐 English βš– 202 KB

The focus of this study is how we can efficiently implement the neural network backpropagation algorithm on a network of computers (NOC) for concurrent execution. We assume a distributed system with heterogeneous computers and that the neural network is replicated on each computer. We propose an arc

Mapping of Neural Network Models onto Sy
✍ Sudipta Mahapatra; Rabi N. Mahapatra πŸ“‚ Article πŸ“… 2000 πŸ› Elsevier Science 🌐 English βš– 220 KB

This paper presents a mapping scheme for the proposed implementation of neural network models on systolic arrays. The mapping technique is illustrated on the multilayer perceptron with back-propagation learning. Dependency graphs have been given that represent the operations in the execution phases