• Mussaratjahan Korpali
• Dr. S.V. Viraktamath

Automatic and early detection of this contamination can avoid eternal vision loss. Age-Related Macular Degeneration (AMD) is a assignment for the ophthalmologists due to the fact the abnormalities are simplest visible at the early level. Analyzing large amount of pictures and detection of abnormalities are extraordinarily tough while you recollect that it is time consuming. More than each different eye illnesses, a part of the retina called the macula is damaged. AMD is the principle cause for vision loss. AMD was determined to be the third important cause of blindness worldwide, after cataracts (47.9%), accounting for 8.7% of general blindness and glaucoma (12.3%). There are types of AMD namely; Can Wet AMD (WAMD) and Dry AMD (DAMD). There are three ranges of AMD, they are; Late AMD, Intermediate AMD, Early AMD.

Age-related Macular Degeneration (AMD), wet age related macular degeneration (WAMD), dry age related macular degeneration DAMD (DAMD), fourteen-layer deep Convolutional Neural Network (CNN), Machine learning (MLP).

"Age-related Macular Degeneration Detection using Deep Convolutional Neural Network ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 7, page no.e749-e754, July-2021, Available :http://www.jetir.org/papers/JETIR2107600.pdf

"Age-related Macular Degeneration Detection using Deep Convolutional Neural Network ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 7, page no. ppe749-e754, July-2021, Available at : http://www.jetir.org/papers/JETIR2107600.pdf