Differentiable programming is a new programming paradigm that generalizes many existing “deep learning” techniques. In this project, we develop and investigate a new framework for differentiable programming for image processing. We will generate efficient code for parallel processing
architectures (multicore CPU, GPUs, FPGAs) and apply the framework to relevant problems in the domains of computer vision and sensor fusion.