Using distributed neural networks in automated optical inspection

This paper introduces the concept of distributed neural networks over a computer network. Each layer in the neural network can be run as a separate application on different computers or on the same computer. The paper emphasizes the advantages of such an architecture over classical ones in terms of issues such as large neural networks and large input data. To test this new architecture, we use images from some automated optical inspection machinery, hoping to improve the results.