Hello! A memory in a neural network is a set of weights that are used to store information. These weights are adjusted during the training process, and they allow the network to remember patterns and relationships between inputs and outputs. The memory in a neural network is analogous to the memory in a computer, where data is stored for later use. In a neural network, the weights act as a form of long-term memory, allowing the network to remember patterns it has seen before. This allows the network to make more accurate predictions when presented with new data.