music-artist-classification-crnn
best-of-ml-python
| music-artist-classification-crnn | best-of-ml-python | |
|---|---|---|
| 1 | 16 | |
| 75 | 15,869 | |
| - | 3.4% | |
| 0.0 | 7.8 | |
| about 1 year ago | 4 days ago | |
| Python | Python | |
| - | Creative Commons Attribution Share Alike 4.0 |
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music-artist-classification-crnn
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What can I do to improve results (significantly)?
It's supposed to do (music) artist recognition on audio data. It's based off of this NN except the output layer has a sigmoid activation (and it's a CNN not a CRNN, and a few other changes.
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Take a look at this list on github. It has a pretty comprehensive list of python image libraries.
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