Inverse problems offer a largely unexplored and highly promising application of DL. We will develop this framework, focusing on task-adapted image reconstruction. In doing this we will develop novel DL reconstruction methods for inverse problems in imaging that incorporate available prior knowledge of the physics and the application-specific task.