Швай, НадіяКравченко, Ілля2022-01-172022-01-172021https://ekmair.ukma.edu.ua/handle/123456789/22283This work is dedicated to the discussion of the main features of the classical fully-connected feed-forward Artificial Neural Network(ANN) and the Spiking Neural Network(SNN) based on their performance on the MNIST dataset and a few of its variations. Firstly, models’ architectures are discussed, then they are trained on the MNIST dataset. Finally, their performances are compared, and from the results of the experiment, the conclusion is stated.enнейронні мережікласифікація зображеньмагістерська роботаІмпульсні нейронні мережі для задач класифікації зображеньOther