FOR THE TENTH MEETING OF GENERATIVE MUSIC (ITP 2018), THE TASK WAS TO FOLLOW THE INSTRUCTIONS PROVIDED IN THIS REPO IN ORDER TO EXPLORE THE PERFORMANCE OF SEVERAL MAGENTA-SANCTIONED NEURAL NETWORKS, SUCH AS IMPROV-RNN AND MELODY-RNN, USING DATA FROM THE LAKH MIDI DATASET AND IAAS SUCH AS PAPERSPACE. I CHOSE TO TRAIN IMPROV RNN ON LINKIN PARK. THE RESULTS WERE MAINLY SCALAR OR QUICK EXAMPLES OF THIRDS. I CHOSE ONE RESULT TO RENDER USING SOME SAMPLES I HAD IN MY ABLETON LIBRARY. CLICK HERE TO LISTEN.