Sparsity Analysis of Deep Learning Models and Corresponding Accelerator Design on FPGA

Sparsity Analysis of Deep Learning Models and Corresponding Accelerator Design on FPGA

Machine learning has achieved great success in recent years, especially the deep learning algorithms based on Artificial Neural Network. However, high performance and large memories are needed for these models , which makes them not suitable for IoT device, as IoT devices have limited performance an...

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Bibliographic Details
Main Author: You, Yantian
Format: Others
Language:English
Published: KTH, Skolan för informations- och kommunikationsteknik (ICT) 2016
Subjects:
Deep machine learning
DBN
CNN
Multiplication-avoiding
FPGA
MNIST
Computer and Information Sciences
Data- och informationsvetenskap
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-204409

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http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-204409

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