Exploring Fpga Implementation For Binarized Neural Network Inference

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Exploring FPGA Implementation for Binarized Neural Network Inference

Exploring FPGA Implementation for Binarized Neural Network Inference
Author :
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Total Pages : 41
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ISBN-10 : OCLC:1083140520
ISBN-13 :
Rating : 4/5 ( Downloads)
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Book Synopsis Exploring FPGA Implementation for Binarized Neural Network Inference by : Li Yang

Download or read book Exploring FPGA Implementation for Binarized Neural Network Inference written by Li Yang and published by . This book was released on 2018 with total page 41 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis proposes to implement a new parallel convolutional binarized neural network (i.e. PC-BNN) on FPGA with accurate inference. The embedded PC-BNN is designed for image classification on CIFAR-10 dataset and explores the hardware architecture and optimization of customized CNN topology.


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