PWL #61: Backpropagation applied to handwritten zip code recognition

Details
• What we'll do
Main Event: Zachary New will present Backpropagation applied to handwritten zip code recognition (http://yann.lecun.com/exdb/publis/pdf/lecun-89e.pdf)

The ability of learning networks to generalize can be greatly enhanced by providing constraints from the task domain. This paper demonstrates how such constraints can be integrated into a backpropagation network through the architecture of the network. This approach has been successfully applied to the recognition of handwritten zip code digits provided by the U.S. Postal Service. A single network learns the entire recognition operation, going from the normalized image of the character to the final classification.

• Important to know

Big ups to Create33 and Vanessa for hosting this month!

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