5000 abstract artworks

This collage is 5000 artworks created by the artificial intelligence called GAN (generative adversarial network), no one (human of course) was involved in the creation of these artworks, machine created them by machine learning and artificial intelligence algorithms.

These 5000 artworks collected from thisartworkdoesnotexist.com that created by Tero Karras, many thanks to him.

This artwork resolution is 1,310,720,000 pixels (1.3 Giga Pixels)

Each artwork is 512 x 512 pixels and the artwork resolution is 51200 x 25600 pixels.

“A picture is a poem without words”

Horace

Learn more about

GAN

A generative adversarial network (GAN) is a class of machine learning frameworks designed by Ian Goodfellow and his colleagues in 2014. Two neural networks contesting with each other in a game (in the form of a zero-sum game, where one agent’s gain is another agent’s loss). Given a training set, this technique learns to generate new data with the same statistics as the training set.

For example, a GAN trained on photographs can generate new photographs that look at least superficially authentic to human observers, having many realistic characteristics. Though originally proposed as a form of a generative model for unsupervised learning, GANs have also proven useful for semi-supervised learning, fully supervised learning, and reinforcement learning.