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P-SN es un clasificador de noticias falsas que utiliza características independientes del lenguaje representadas como series de tiempo. \\ P-SN is a fake news classifier that uses language-agnostic features represented as time series.
This is a simple tryout for a Neuronal Network which learns a similarity function to identify similar images. It uses the pretrained layers from reNet50 to reduce the amount of time and computing power for the convolutional layers.
This project is an advanced facial verification application built using a Siamese Neural Network, offering a robust and secure method for identity verification. This project leverages the power of deep learning and computer vision techniques to provide reliable and accurate facial verification capabilities.