Este repositorio contiene la implementación de un agente de Conducción Autónoma basado en Deep Learning y de un sistema de generación de circuitos aleatorios con mapas de Kohonen.
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Updated
Jun 28, 2021 - C#
Generative adversarial networks (GAN) are a class of generative machine learning frameworks. A GAN consists of two competing neural networks, often termed the Discriminator network and the Generator network. GANs have been shown to be powerful generative models and are able to successfully generate new data given a large enough training dataset.
Este repositorio contiene la implementación de un agente de Conducción Autónoma basado en Deep Learning y de un sistema de generación de circuitos aleatorios con mapas de Kohonen.
Machine learning library for creating and working with GAN, RNN, CNN, R-CNN and also with Classic Neural Networks.
A Generative Adversarial Network (GAN) written entirely in c#
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