Soria, LuisJiménez-Cadena, GabrielaMartínez, CarlosCastillo-Salazar, David2022-06-292022-06-292020https://link.springer.com/chapter/10.1007/978-3-030-40690-5_22https://hdl.handle.net/20.500.14809/3400This work is a proposal to resolve the problem of identification plates of food through photographs. It involves using a large set of pictures which are processed by convolutional neural networks and parallel processing TensorFlow. The results show a 90% greater accuracy in training and between 63% and 80% in the test. The reason is that Ecuadorian dishes are very similar in the images of some recipes. © Springer Nature Switzerland AG 2020.engopenAccesshttps://creativecommons.org/licenses/by/4.0/article