Generative deep learning. Just like we don’t paint pictures, write novels and music

Generative modeling is one of the most discussed topics in the field of artificial intelligence. Machines can be taught to draw, write and compose music. You yourself can put artificial intelligence at a desk or easel; to do this, just get acquainted with the most current examples of generative deep learning models: variational autoencoders, generative adversarial networks, codec-decoder models
and many others.
David Foster makes the architecture and methods of generative modeling clear and accessible, with tips and tricks to make your models more creative and effective in learning. Learn the basics of deep learning using Kegaz, and then move on to the most advanced algorithms.