Deep learning framework for iridology
Fawad Ahmad (14590)
Deep learning framework for iridology - Islamabad (unpublished) 2017 - iii, 26 p. : ill . ; 30 cm. +CD
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
Iridology--Graphics processing unit--Central processing unit--Features caffe--Learning framework--FEAS
617.71 / FAW
Deep learning framework for iridology - Islamabad (unpublished) 2017 - iii, 26 p. : ill . ; 30 cm. +CD
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
Iridology--Graphics processing unit--Central processing unit--Features caffe--Learning framework--FEAS
617.71 / FAW