Memory-Augmented Neural Networks (MANNs) are a class of artificial neural networks that incorporate an external memory component, enabling them to handle complex tasks involving long-term dependencies and data storage beyond the capacity of traditional neural networks.
For example, MANNs could be used in natural language processing applications such as language translation, where the network needs to retain information about entire sentences or paragraphs across multiple training examples.