To develop and evaluate MyoMapNet, a rapid myocardial T1 mapping approach that uses fully connected neural networks (FC) to estimate pixel-wise T1 from only four T1-weighted images collected after a single inversion pulse (Look-Locker, LL4) in four heartbeats.