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.