A scheme for implementation of neural networks with replicated receptive fields

The authors shows how neural networks with local receptive fields and replicated weights can be mapped efficiently onto a CCD parallel processing architecture. Implementation of the neocognitron, a neural network for feature extraction and classification, on the CCD architecture was simulated. A modified training procedure for the neocognitron that improves its ability to extract features when using the CCD architecture is presented.<
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