music-artist-classification-crnn
data-science-ipython-notebooks
| music-artist-classification-crnn | data-science-ipython-notebooks | |
|---|---|---|
| 1 | 1 | |
| 75 | 26,545 | |
| - | - | |
| 0.0 | 0.0 | |
| about 1 year ago | 2 months ago | |
| Python | Python | |
| - | GNU General Public License v3.0 or later |
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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.
data-science-ipython-notebooks
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Beginner in Python for Data Science
data science ipython notebooks
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