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Deep Convolutional Generative Adversarial Network

🇦🇷 Esta es una implementacion de tipo clases de una red convolucional profunda, generativa y adversaria, utilizando Tensorflow 2. La idea basica es construir un modelo capaz de generar imagenes aleatorias basadas en la distribucion de un dataset de imagenes dado. Esta implementacion usa la base de datos MNIST (numeros manuscritos).

🇺🇸 This is a model focused implementation of a deep convolutional generative adversarial network, using Tensorflow 2. The basic idea is to build a model able to generate random images based on the distribution of a given image dataset. This implementation uses the MNIST dataset (handwritten numbers)

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