LSTM Neural Network that tries to write piano melodies similar to Bach's (2016)
Published:Oct 26, 2018 13:16
•1 min read
•Hacker News
Analysis
This article discusses a research project from 2016 that used an LSTM neural network to generate piano melodies in the style of Johann Sebastian Bach. The focus is on the application of deep learning to music composition and the attempt to emulate a specific composer's style. The source, Hacker News, suggests the article is likely a discussion or sharing of the research findings.
Key Takeaways
- •Demonstrates the application of deep learning, specifically LSTM networks, to music composition.
- •Focuses on style transfer, attempting to replicate the musical style of a specific composer (Bach).
- •Highlights the potential of AI in creative fields.
Reference
“The article likely discusses the architecture of the LSTM network, the training data used (likely Bach's compositions), the evaluation methods (how similar the generated melodies are to Bach's), and the results of the experiment.”