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 |
Files in This Item:
File | Description | Size | Format | |
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01_title.pdf | Attached File | 119.63 kB | Adobe PDF | View/Open |
02_prelim pages.pdf | 370.32 kB | Adobe PDF | View/Open | |
03_content.pdf | 27.09 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 11.54 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 546.17 kB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 292.55 kB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 89.94 kB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 455.88 kB | Adobe PDF | View/Open | |
09_chapter 5.pdf | 1.03 MB | Adobe PDF | View/Open | |
10_chapter 6.pdf | 734.78 kB | Adobe PDF | View/Open | |
11_chapter 7.pdf | 714.75 kB | Adobe PDF | View/Open | |
12_chapter 8.pdf | 13.62 kB | Adobe PDF | View/Open | |
13_annexures.pdf | 193.16 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 128.51 kB | Adobe PDF | View/Open |
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