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Classification of standard Datasets with Deep Convolutional Neural Networks using DIGITS / Sohrab ul Haq

By: Sohrab ul HaqContributor(s): Dr. Farhan Hussain Material type: Text

TextPublisher: Islamabad : CEME - NUST, 2017Description: xiii, 57 p. : ill. ; 30cmSubject(s): Computer Engineering-MS-ThesisDDC classification: 621.39

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Item type	Current location	Home library	Shelving location	Call number	Status	Date due	Barcode	Item holds
Thesis	Central Library (CL)	Central Library (CL)	Thesis	621.39 (Browse shelf)	Available		CL-T-514

Total holds: 0

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Previous	621.39 Object Tracking Using Appearance Model Based on Feature Extracted from Multi-Scale Image Feature Space with Data-Independent Basis /	621.39 Lossless Image Compression by Incorporating Histogram Processing Stage in Burrows wheeler Compression Algorithm (BWCA) /	621.39 Automated Segmentation of Retinal Layers for the Detection of Diabetic Macular Edema using OCT Images /	621.39 Classification of standard Datasets with Deep Convolutional Neural Networks using DIGITS /	621.39 Rule - Base Expert System for Earthquake Prediction /	621.39 Facial Expression Recognition Using Multiple Feature Sets /	621.39 IDENTIFICATON AND ANALYSIS OF RELATIONS FOR URINARY TRACT INFECTION USING DOMAIN ONTOLOGY /	Next

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