Adapting an LCD for weight generation in an electro-optic neural processor
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2013.
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| Other Authors: | |
| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2014
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| Online Access: | http://hdl.handle.net/1721.1/85436 |
| _version_ | 1811089396035747840 |
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| author | Lamson, Andrew Charles |
| author2 | Cardinal Warde. |
| author_facet | Cardinal Warde. Lamson, Andrew Charles |
| author_sort | Lamson, Andrew Charles |
| collection | MIT |
| description | Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2013. |
| first_indexed | 2024-09-23T14:18:30Z |
| format | Thesis |
| id | mit-1721.1/85436 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T14:18:30Z |
| publishDate | 2014 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/854362019-04-10T09:28:31Z Adapting an LCD for weight generation in an electro-optic neural processor Adapting a liquid crystal display for weight generation in an electro-optic neural processor Lamson, Andrew Charles Cardinal Warde. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2013. Cataloged from PDF version of thesis. Includes bibliographical references (page 99). This thesis discusses adapting and testing an LCD as a weight image display for use in the Hybrid Electro-optical Neural Network (HENN). The HENN project is a proof of concept prototype hybrid neural network that will be used to gather information for a more advanced project in the future. After thoroughly explaining the HENN, this thesis characterizes the LCD selected for adaption. Within the characterization is a grouping of experiments that explore different aspects of the LCD screen. Then a few experiments are conducted to evaluate the interactions of the LCD and fiber optic interconnection plate. After this, the method used to generate the weighting image is explained thoroughly. The experimental evidence is gathered to show how the LCD can be used as a weighting system. Then based on the evidence gathered several recommendations are suggested to redesign the fiber plate and further improve the HENN system. by Andrew Charles Lamson. M. Eng. 2014-03-06T15:41:53Z 2014-03-06T15:41:53Z 2013 2013 Thesis http://hdl.handle.net/1721.1/85436 870682708 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 99 pages application/pdf Massachusetts Institute of Technology |
| spellingShingle | Electrical Engineering and Computer Science. Lamson, Andrew Charles Adapting an LCD for weight generation in an electro-optic neural processor |
| title | Adapting an LCD for weight generation in an electro-optic neural processor |
| title_full | Adapting an LCD for weight generation in an electro-optic neural processor |
| title_fullStr | Adapting an LCD for weight generation in an electro-optic neural processor |
| title_full_unstemmed | Adapting an LCD for weight generation in an electro-optic neural processor |
| title_short | Adapting an LCD for weight generation in an electro-optic neural processor |
| title_sort | adapting an lcd for weight generation in an electro optic neural processor |
| topic | Electrical Engineering and Computer Science. |
| url | http://hdl.handle.net/1721.1/85436 |
| work_keys_str_mv | AT lamsonandrewcharles adaptinganlcdforweightgenerationinanelectroopticneuralprocessor AT lamsonandrewcharles adaptingaliquidcrystaldisplayforweightgenerationinanelectroopticneuralprocessor |