One-to-One Neural Networks

For the purposes of the card a "block" means the complete unit of observable or emissible content. So if one set of five features becomes one set of ten predictions simultaneously then that is a "one to one" network.

These don't require much explanation because they're well researched already. Standard artificial neural network algorithms learn math to convert one unit to another unit.