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Urdu writer's gender and age group prediction from handwritten text using deep learning

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Material type: Text

TextPublication details: Islamabad (unpublished) 2021Description: xii, 55 p. : ill, Col. ; 30 cm. +CDSubject(s):

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Dissertation note: Thesis (MS)--Riphah International University, 2021

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Holdings
Item type	Current library	Call number	Copy number	Status	Date due	Barcode
Thesis	Main Campus	006.31 AFT (Browse shelf(Opens below))	1	NOT for LOAN		68334

Submitted in fulfillment of the requirements for the degree of Master of Sciences in Software Engineering to the Faculty of Computing.

Includes bibliographical references

Thesis supervisor: Dr. Musharraf Ahmad

Thesis (MS)--Riphah International University, 2021

English

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