OBJECT RECOGNITION THROUGH CONVOLUTIONAL LEARNING FOR FPGA

In later years the interest for deep networks and convolutional networks in regards to object recognition has spiked. There are however not many that focuses on the hardware in these subjects. This thesis was done in collaboration with Unibap to explore the feasibility of implementing these on a FPG...

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Bibliographic Details
Main Author: Jonasson, Daniel
Format: Others
Language:English
Published: Mälardalens högskola, Akademin för innovation, design och teknik 2017
Subjects:
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-36039