What are memory networks in AI?

What are memory networks in AI?

Memory networks are a type of neural network that can store and retrieve information, enhancing learning and reasoning.

How do they differ from traditional neural networks?

Unlike traditional neural networks, memory networks have an explicit memory component that allows them to remember and utilize past information.

Can you give me an example of how they are used?

Sure! They are often used in tasks like question answering, where the model needs to recall facts from a large dataset.

What are the advantages of using memory networks?

They improve performance on tasks requiring long-term dependencies and can handle larger contexts than standard models.