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FPGA implementation of a Convolutional Neural Network for PDF

120 Pages·2017·2.28 MB·English
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by Ole Martin Skafså| 2017| 120 pages| 2.28| English

About FPGA implementation of a Convolutional Neural Network for

This thesis explores the use of a Field-Programmable Gate Array (FPGA), specific- Although the classification time of 3.6 ms is 3.1 An OpenCL™Deep Learning Accelerator on Arria 10 ALM Adaptive Logic Module minimize the cost function an algorithm known as gradient decent is used.

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Author:Ole Martin Skafså
Publication Year:2017
Pages:120
Language:English
File Size:2.28
Format:PDF
Price:FREE
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