Using a Recurrent cell and Restricted Boltzmann Machines to generate music.
Dependencies
pip3 install python-midi matplotlib tqdm pandas
You can generate music by cloning the directory and running:
python rnn_rbm_generate.py parameter_checkpoints/pretrained.ckpt
This will populate the music_outputs directory with midi files that you can play with an application like GuitarBand.
To train the model, first run the following command to initialize the parameters of the RBM.
python weight_initializations.py
Then, run the following command to train the RNN_RBM model:
python rnn_rbm_train.py <num_epochs>
num_epochs can be any integer. Set it between 50-500, depending on the hyperparameters.
The command:
python rnn_rbm_generate.py <path_to_ckpt_file>
will generate music by using the weights stored in the path_to_ckpt_file. You can use the provided file parameter_checkpoints/pretrained.ckpt, or you can use one of the ckpt files that you create. When you run train_rnn_rbm.py, the model creates a epoch_<x>.ckpt file in the parameter_checkpoints directory every couple of epochs.
credits: this is described in detail here: http://danshiebler.com/2016-08-17-musical-tensorflow-part-two-the-rnn-rbm/