Paper Title
RNN based Music Generation Algorithm on GPUs VS FPGAs

The paper aims at analysing the efficiency of RNN based neural net on both the GPUs and the FPGAs. While GPUs are used in deep learning modules on day to day basis but the FPGAs are not used often this filed. This paper describes the process of constructing a deep learning module based on RNN to generate musical symphonies and compares this algorithm on the FPGAs and GPUs to determine the ideal hardware required for max efficiency.