The Argus project is about hardware acceleration for deep learning neural network applications. In particular, our focus is on designing and building FPGA-based accelerators for both neural network inference and training. The long term goal is to build a easy to use, high performance, high energy efficiency, end-to-end deep neural network acceleration system which runs on a cluster of FPGAs.