DCGAN Neuroevolution at Neurales

GAN experiment (Computer Vision) A Generative Adversarial Network (GAN) is a Deep Learning model that has two actors: the Discriminator and the Generator. The goal in training a GAN is to have the generator create realistic looking fake data samples from noise, while the Discriminator learns to distinguish between the true data and the fake …

Practical Challenges in AI Development

Practical Challenges in AI Development As developments in Artificial Intelligence advances we are constantly asked how can we build a truly strong AI?  Even better, how do we test such candidates? These are some of the challenges that researches and scientist are stumbling upon trying to build AI.  Since technology is advancing as such a …