Self-learning system and methods of selection of weight coefficients of neural network

Abstract

The present work is devoted to the problems of determining the parameters of neural networks. The methodology, algorithm and solution paths of finding the gradient descent, one of the main parameters in a neural network during machine learning, are presented. It is very important to minimize the error of finding the weight parameters of the neuron.