Algorithm For Detecting Eye Diseases Using Convolutional Neural Network
Dilnoz MuhamediyevaScience and innovation center for information and communication technologies, Tashkent University of Information Technologies named after Muhammad Al-Khwarizmi, Tashkent, UzbekistanDilshodbek SotvoldiyevAbdulla ArifjanovScience and innovation center for information and communication technologies, Tashkent University of Information Technologies named after Muhammad Al-Khwarizmi, Tashkent, Uzbekistan
2021 International Conference on Information Science and Communications Technologies (ICISCT)conference2021en
ABI
Abstract
Currently, a convolutional neural network and its modifications are algorithms for finding the best objects in terms of accuracy and speed. Therefore, in the diagnosis of eye diseases, a network of neurons was used, based on the principles of neocognitron and supplemented by training on the inverse error distribution algorithm. The article proposes a fully connected neural network with several architectures and several hidden layers, consisting of nonlinear neurons in each layer.
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