Shypd.aiThe largest open index of AI toolsBiaxial-RNN-Music-Composition is a recurrent neural network for generating classical music. It uses LSTM layers to predict notes, drawing inspiration from convolutional neural networks.
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Biaxial-RNN-Music-Composition is an open-source recurrent neural network specifically designed for the task of generating classical music. The core of its architecture relies on Long Short-Term Memory (LSTM) layers, which enable it to predict musical notes sequentially at each time step within a composition. This model's design incorporates principles and inspirations from convolutional neural networks, suggesting a sophisticated approach to pattern recognition in musical data. It provides a programmatic way to create new classical music pieces.
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