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Two Minute Papers: Recurrent Neural Network Writes Music and Shakespeare Novels | Two Minute Papers #19

Artificial neural networks are powerful machine learning techniques that can learn to recognize images or paint in the style of Van Gogh. Recurrent neural networks offer a more general model that can learn input sequences and create output sequences. The resulting technique (Long Short-Term Memory in these examples) can write novels in the style of Tolstoy, Shakespeare, or write their own music.


Andrej Karpathy’s original article is available here:

Source code: https://github.com/karpathy/char-rnn

The paper “Long Short-Term Memory” by Sepp Hochreiter and Jürgen Schmidhuber is available here:

Continuing “Let It Go” from Disney with a recurrent neural network:

Recommended for you:
Artificial Neural Networks and Deep Learning – https://www.youtube.com/watch?v=rCWTOOgVXyE
Deep Neural Network Learns Van Gogh’s Art – https://www.youtube.com/watch?v=-R9bJGNHltQ
Creating Photographs Using Deep Learning – https://www.youtube.com/watch?v=HOLoPgTzV6g

A great write-up on how LSTMs work:

More applications of Long Short-Term Memory:

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The thumbnail image background was created by Brandon Giesbrecht (license: CC BY 2.0). Slight changes were made for better blending. – https://www.flickr.com/photos/naturegeak/5819184201/
Splash screen/thumbnail design: Felícia Fehér – http://felicia.hu

Music: “Gymnopedie no1” by Satie.

Károly Zsolnai-Fehér’s links:
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