stochastic neural networks

Stochastic neural networks are a type of artificial intelligence that incorporate randomness into their processes, unlike traditional neural networks which operate deterministically. This randomness helps them explore different possibilities and prevent overfitting, making them better at handling uncertainty and variability in data. They are often used in tasks like generative modeling, where the goal is to produce diverse and realistic outputs, such as images or text. By embracing randomness, stochastic neural networks can improve learning efficiency and generate more creative, nuanced results compared to their deterministic counterparts.