What is recorded here?
Applied backpropagation to a constrained multilayer network for recognizing handwritten postal digits, using shared-weight local receptive fields to reduce free parameters.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
This record is limited to the 1989 seven-author paper and its USPS task; it does not collapse earlier convolutional ideas or later large-scale CNN systems into this work.
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People and systems
Yann LeCun; Bernhard Boser; John S. Denker; Donnie Henderson; Richard E. Howard; Wayne Hubbard; Lawrence D. Jackel
The named authors contributed to this scoped work; individual effort shares and later applications are not assigned by the byline.
Research locations and affiliations
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Documented countries / regions: United States
All seven authors share the printed affiliation at AT&T Bell Laboratories, Holmdel, New Jersey, USA.
English catalogue narrative
LeCun and colleagues: backpropagation for handwritten zip-code recognition
Applied backpropagation to a constrained multilayer network for recognizing handwritten postal digits, using shared-weight local receptive fields to reduce free parameters.
Scientific scope
This record is limited to the 1989 seven-author paper and its USPS task; it does not collapse earlier convolutional ideas or later large-scale CNN systems into this work.
Reading status
This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.
People and systems
Yann LeCun; Bernhard Boser; John S. Denker; Donnie Henderson; Richard E. Howard; Wayne Hubbard; Lawrence D. Jackel
The named authors contributed to this scoped work; individual effort shares and later applications are not assigned by the byline.