Hopfield networks

Hopfield Networks are a type of artificial neural network designed for pattern recognition and memory retrieval. They act like a memory system where information is stored as patterns within a network of interconnected nodes, or neurons. When presented with a partial or noisy version of a stored pattern, the network can retrieve the closest match by updating its internal states. This process is akin to how our brain recalls memories. Hopfield Networks are effective for tasks like solving optimization problems and image restoration, demonstrating the potential of neural networks in mimicking cognitive functions.