As someone who works with numbers and codes, I’m interested in exploring how algorithmic models intersect with artistic creativity.
This series of artwork is inspired by Deep Learning algorithms that are fine-tuned to generate original contents. Two types of frameworks are applied: Style Transfer (ST) and Generative Adversarial Network (GAN). ST is a deep learning model that blends style elements from one image and content from another to produce a new image. Meanwhile, GAN trains two neural networks – the discriminator and the generator, to produce images that mimic the style/genre of the training data set.
Prints for most of the artworks can be purchased through Fine Art America.