A promising trend in deep learning replaces traditional feedforward networks with implicit networks. Unlike networks, solve a fixed point equation to compute inferences. Solving for the varies complexity, depending on provided data and an error tolerance. Importantly, may be trained memory costs stark contrast whose requirements scale linearly depth. However, there is no free lunch --- backprop...