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How to use, prepare the data and train a model of Magenta RNN by an example with Magenta Improv RNN


The objective of this blog is to teach people how to generate melodies using Deep learning with the Tensor Flow framework called Magenta (by Google). The magenta model we are going to use is Improv RNN, which is a model that uses a neural network with RNN architecture and creates melodies using as input a chord sequence and a primary melody (this can be just one note). This resource is going to treat 3 main topics: how to prepare the data to build a dataset, how to train your own model, and how to use Magenta Improv RNN pre-trained model…

Alvaro Yepes

Computer science and Industrial Engineer from the Andes University of Colombia. My Interest are the software development and Data Science

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