Deep learning was stuffed away in the back closet for years, often thought of as a pseudo or fuzzy science. It wasn’t until the last decade that an explosion of growth has fostered in a new wave of AI. AI has matured from using supervised learning to more advanced forms of learning including unsupervised, self-supervised learning, adversarial learning, and reinforcement learning. It was from these other forms of learning that the area of generative modeling has come to flourish and advance in many areas.
The advent of deep learning and the innovative architectures it brings have ...
