Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/435053
Title: Enhanced convolutional neural network architectures by hyper parameter tuning for effective classification of diabetic retinopathy stages
Researcher: Yazhini, K
Guide(s): Loganathan, D
Keywords: Engineering and Technology
Computer Science
Computer Science Software Engineering
Deep Learning
Diabetic diagnosis models
Convolutional Neural Network
University: Pondicherry University
Completed Date: 2021
Abstract: newline
Pagination: xv, 132 p.
URI: http://hdl.handle.net/10603/435053
Appears in Departments:Pondicherry Engineering College

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01_title.pdfAttached File119.63 kBAdobe PDFView/Open
02_prelim pages.pdf370.32 kBAdobe PDFView/Open
03_content.pdf27.09 kBAdobe PDFView/Open
04_abstract.pdf11.54 kBAdobe PDFView/Open
05_chapter 1.pdf546.17 kBAdobe PDFView/Open
06_chapter 2.pdf292.55 kBAdobe PDFView/Open
07_chapter 3.pdf89.94 kBAdobe PDFView/Open
08_chapter 4.pdf455.88 kBAdobe PDFView/Open
09_chapter 5.pdf1.03 MBAdobe PDFView/Open
10_chapter 6.pdf734.78 kBAdobe PDFView/Open
11_chapter 7.pdf714.75 kBAdobe PDFView/Open
12_chapter 8.pdf13.62 kBAdobe PDFView/Open
13_annexures.pdf193.16 kBAdobe PDFView/Open
80_recommendation.pdf128.51 kBAdobe PDFView/Open
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