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A bidirectional long short memory network for Roman Urdu using novel dataset [MS Data Sciences] / by Muhammad Awais

By: Material type: TextTextPublication details: Lahore : UMT. School of Business and Economics, 2022Description: 57 p. CDSubject(s): DDC classification:
  • TP 658.4038011574 AWA-B
Dissertation note: Report presented in partial requirement for MS degree in Data Sciences Adviser : Dr. Fazeel Abid MS University of Management and Technology 2022 F2020313003
Item type: Theses and Term Papers
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Current library Call number Status Date due Barcode
UMT Main Campus TP 658.4038011574 AWA-B (Browse shelf(Opens below)) Not for loan 144018

Report presented in partial requirement for MS degree in Data Sciences
Adviser : Dr. Fazeel Abid MS University of Management and Technology 2022 F2020313003

School of Business and Economics

English

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