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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Urban sound classification using Deep Learning
| Date | Stars |
|---|---|
| 2026-07-31 | 521 |
| 2026-08-06 | 521 |
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## Urban Sound Classification #### Notebooks <ul> <li> <p><a href="https://github.com/aqibsaeed/Urban-Sound-Classification/blob/master/Feedforward%20Neural%20Network.ipynb"> Feedforward Network</a><a href="http://aqibsaeed.github.io/2016-09-03-urban-sound-classification-part-1/"> (Blogpost)</a></p> </li> <li> <p><a href="https://github.com/aqibsaeed/Urban-Sound-Classification/blob/master/Convolutional%20Neural%20Network.ipynb">Convolutional Network</a> <a href="http://aqibsaeed.github.io/2016-09-24-urban-sound-classification-part-2/"> (Blogpost)</a></p> </li> <li> <p><a href="https://github.com/aqibsaeed/Urban-Sound-Classification/blob/master/Recurrent%20Neural%20Network.ipynb">Recurrent Network</a></p> </li> </ul> <p align="center"><img src="https://github.com/aqibsaeed/Urban-Sound-Classification/blob/master/urban-sound-spectrogram.png"/></p> #### Tools Python 3.5 (or above) is used during development and following libraries are required to run the code provided in the notebook: * Tensorflow 2.x * Numpy * Matplotlib * Librosa #### Dataset The UrbanSound8k dataset used for model training, can be downloaded from the following [link](https://serv.cusp.nyu.edu/projects/urbansounddataset/urbansound8k.html). Another related dataset that can be used is Google's [AudioSet](https://research.google.com/audioset/).
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:c1826be4c9a41660, topic:deep-learning, topic:neural-network