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Deep learning framework for iridology

By:

Fawad Ahmad (14590)

Material type: Text

TextPublication details: Islamabad (unpublished) 2017Description: iii, 26 p. : ill . ; 30 cm. +CDSubject(s):

Iridology -- Graphics processing unit -- Central processing unit -- Features caffe -- Learning framework -- FEAS

DDC classification:

617.71 FAW

Dissertation note: Thesis (MS)--Riphah International Univeristy, 2017

List(s) this item appears in: FEAS & DBS Thesis I-14 Campus

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Item type	Current library	Call number	Copy number	Status	Date due	Barcode
Thesis	Main Campus	617.71 FAW (Browse shelf(Opens below))	1	NOT for LOAN		28743

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Submitted in fulfillment of the requirements for the degree of Master of Science in Electrical Engineering for the Faculty of Engineering and Applied Science.

Includes bibliographical references.

Thesis Supervisor: Dr Tassadaq Hussain

Thesis (MS)--Riphah International Univeristy, 2017

English

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