Deep learning is revolutionizing the art world by providing artists with powerful digital tools to enhance their creative process. Generative Adversarial Networks (GANs) and Recurrent Neural Networks (RNNs) are two deep learning algorithms that are being used to generate original and visually stunning artworks. Style transfer algorithms allow artists to apply the style of a famous painter or a specific art movement to their own artwork. Deep learning has also facilitated the emergence of interactive art installations that respond and adapt to the viewer’s presence.
