Chopin and Ragtime model training and output with loss of 0.0049 #21
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Added some info print messages Added Keras batch normalisation Increased size of RNN Changed output MIDI filename to unique time stamp
Added sample output from Chopin + Ragtime notes file Weights (351MB) for GPU trained Chopin + Ragtime (644 epochs, loss 0.0049) can be found at: https://www.dropbox.com/s/scmblb97o77ceb8/weights_chopin_ragtime.hdf5.bz2?dl=0
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Hi, Might I ask why this is a pull request? |
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@Skuldur thanks for a great musical project!
I pulled down some MIDI files from Kunstderfuge and switched your code to use CUDA and Batch Normalisation to get a loss of 0.0049 after 644 epochs on my NVidia 1080Ti.
The resultant weights are too large for Github, so I uploaded them to my Dropbox: