Authors : Y. LeCun, B. Boser, J. S. Denker, D. Henderson, R. E. Howard, W. Hubbard, L. D. Jackel
Comments:
1. Yuxiang's blog
Summary:
This paper discusses about an algorithm to recognize Zip code numbers using neural networks. It uses a 3 layer neural network. H1 - 12 feature maps with 8x8 units, each unit takes a 5x5 field from the 16x16 image as input. H uses 12 feature maps with 4x4 units built on H1. H3 has 30 units fully connected to H2 and output layer has 10 units ( corresponding to 0-9) fully connected to H3.
Discussion:
I did not understand anything of this paper.
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