Feature extraction in shared weights neural networksDick

@inproceedings{Ridder1996FeatureEI,
  title={Feature extraction in shared weights neural networksDick},
  author={De A Ridder and Aarnoud Hoekstra and Robert P. W. Duin},
  year={1996}
}
Since 1989 there have been numerous reports about shared weights neural networks: feed-forward networks performing very well in image analysis problems. As an explanation of these results, the authors of the corresponding papers propose that the networks somehow extract local features from the image, combining them at deeper levels in the network. Experiments on a large real-life dataset of handwritten digits show these networks to be able to achieve a low test set error. However, the lters or… CONTINUE READING
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