stochastic neural network

A stochastic neural network is a type of artificial intelligence model that incorporates randomness during its processing. Unlike traditional neural networks, which produce a fixed output for a given input, stochastic networks include probabilistic elements, allowing them to generate different results each time they run. This randomness helps these models better handle uncertainty, explore diverse possibilities, and improve learning, especially in complex tasks like pattern recognition, natural language processing, or decision making. Essentially, stochastic neural networks mimic some aspects of human brain variability, making them more flexible and capable of capturing complex, uncertain patterns in data.