Publication | Closed Access
An optical CNN implementation with stored programmability
18
Citations
18
References
2002
Year
Unknown Venue
Cnn Universal ChipsOptical Processing SystemOptical MemoryMachine VisionImage AnalysisEngineeringCellular Neural NetworkPoac ArchitectureConvolutional Neural NetworkComputer EngineeringComputing SystemsComputer ArchitectureNeural Architecture SearchComputer ScienceDeep LearningOptical Cnn ImplementationComputer VisionOptical Computing
The objective of this paper is to provide a framework for the implementation of programmable Opto-Electronic Analogic CNN (POAC) Computers embedding CNN Universal Chips. Specifically, a new method for optical CNN implementation is provided and some details are experimentally studied. The POAC architecture includes the integration of an optical processing system, such as a joint transform correlator, with the fast spatio-temporal processing capabilities of a CNN-UM chip. We have built and tested an optical sub-unit of this experimental optoelectronic architecture to examine their processing capabilities for complex target recognition tasks. Preliminary result of these measurements will also be presented. The main idea is to introduce stored programmability into optical computing.
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