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A Design Methodology for Efficient Implementation of Deconvolutional Neural Networks on an FPGA
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Copyright Title

A Design Methodology for Efficient Implementation of Deconvolutional Neural Networks on an FPGA

Status

Published

on 10 May 2017
Year of Creation
2017
Copyright Claimant
Xinyu Zhang
Registration Number
TX0008457931
on 10 May 2017

Copyright Summary


The U.S. Copyright record (Registration Number: TX0008457931) dated 10 May 2017, pertains to an electronic file (eService) titled "A Design Methodology for Efficient Implementation of Deconvolutional Neural Networks on an FPGA" created in 2017. The copyright holder is Xinyu Zhang, known for their creative contributions in text registration. For any inquiries concerning this copyrighted material, kindly reach out to Xinyu Zhang.

Copyright Details


Copyright Claimant
Xinyu Zhang

Application Details


Registration Number
TX0008457931
Registration Date
5/10/2017
Year of Creation
2017
Agency Marc Code
DLC-CO
Record Status
New
Physical Description
Electronic file (eService)
First Publication Nation
United States

Personal Authors


Notes


Rights Note: Diana G Zajic, ProQuest-CSA, LLC, 789 E. Eisenhower Parkway, Ann Arbor, MI, 48108-3218, United States, (800) 521-0600 xext77020, disspub@proquest.com

Statements


Application Title Statement: A Design Methodology for Efficient Implementation of Deconvolutional Neural Networks on an FPGA
Author Statement: Xinyu Zhang Citizenship: China Authorship: text
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