Algorithm For Detecting Eye Diseases Using Convolutional Neural Network

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.