In this video, I go over some of the state of the art advances in music generation coming out of DeepMind. Then we build our own music generation script in Python using Tensorflow and a type of neural network called a Restricted Boltzmann Machine. Congrats to Rohan Verma (Winner) and Chih-Cheng Liang (runner-up) for their classifiers for scientists. The challenge for this video is to generate a happy/upbeat song using the RBM Script.
The code for this video is here:
https://github.com/llSourcell/Music_Generator_Demo
I created a Slack channel for us, sign up here:
https://wizards.herokuapp.com/
The WaveNet blogpost with audio samples:
https://deepmind.com/blog/wavenet-generative-model-raw-audio/
More on RBMs:
http://deeplearning4j.org/restrictedboltzmannmachine.html
Another write up on music generation with Neural Networks:
http://www.hexahedria.com/2015/08/03/composing-music-with-recurrent-neural-networks/
Interesting Machine Music Generation Project by Google:
https://magenta.tensorflow.org/welcome-to-magenta
TensorFlow course on Udacity:
https://www.udacity.com/course/deep-learning--ud730
Rohan's Classifier (Winner):
https://github.com/rhnvrm/galaxy-image-classifier-tensorflow
Chih-Cheng's Classifier (Runner-up):
https://github.com/ChihChengLiang/tensorflow-night-heron-classifier
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