2023-02-162023-02-162022-12-13RIBEIRO, Denys Menfredy Ferreira. Busca por arquiteturas de redes neurais artificiais profundas utilizando algoritmos genéticos. Orientador: Otávio Noura Teixeira. 2022. 12 f. Trabalho de Curso (Bacharelado em Engenharia da Computação) – Faculdade de Engenharia da Computação, Campus Universitário de Tucuruí, Universidade Federal do Pará, Tucuruí, 2022. Disponível em: https://bdm.ufpa.br:8443/jspui/handle/prefix/5259. Acesso em:.https://bdm.ufpa.br/handle/prefix/5259Artificial Neural Networks are the pillars of advances in the last two decades in the field of Artificial Intelligence. However, success in training, aiming to obtain good results, strongly depends on the choice of values of a set of hyperparameters associated with their construction. The choice of these parameters is usually done empirically, wasting time and generating costs. In this work, it is proposed the development of an ENAS (Evolutionary Neural Architecture Search) algorithm using genetic algorithms as a search method to automate the process of designing architectures of convolutional neural network architectures applied to the task of classifying images from the CIFAR-10 dataset. The proposed algorithm was able to find architectures that obtained good accuracy results in the test set.Acesso AbertoRedes neurais convolucionaisArquiteturas de redes neuraisAlgoritmos genéticosCNPQ::ENGENHARIASCNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO::METODOLOGIA E TECNICAS DA COMPUTACAOTrabalho de Curso - Graduação - Artigo