This project was investigated based on MIT’s introductory course on deep learning. In this project, I investigated how deep learning could affect music composition. Training an RNN model utilizing LSTM architecture to generate music was the objective. Additionally, it was examined how a neural network could predict the subsequent notes in a composition.

This project aims to enable a computer to analyze the underlying melody through a form of musical notation behind an extensive data set and generate audible music by familiarizing with existing music using machine learning training models or Deep learning.