https://github.com/mohssineserraji/cnn_clasification_bark101
An implementation of Classification approaches using CNN models with Tensorflow on Bark-101 Dataset.
https://github.com/mohssineserraji/cnn_clasification_bark101
cnn cnn-classification cnn-keras cnn-model cnns tensorflow
Last synced: 8 months ago
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An implementation of Classification approaches using CNN models with Tensorflow on Bark-101 Dataset.
- Host: GitHub
- URL: https://github.com/mohssineserraji/cnn_clasification_bark101
- Owner: MohssineSERRAJI
- Created: 2021-02-06T22:18:38.000Z (over 4 years ago)
- Default Branch: main
- Last Pushed: 2021-02-06T22:39:43.000Z (over 4 years ago)
- Last Synced: 2025-01-14T07:52:17.521Z (10 months ago)
- Topics: cnn, cnn-classification, cnn-keras, cnn-model, cnns, tensorflow
- Language: Python
- Homepage:
- Size: 3.51 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# CNN_Clasification_bark101
**[This code belongs to the "Implementing a CNN for Image Classification in Keras" ](http://eidolon.univ-lyon2.fr/~remi1/Bark-101/)**
## Requirements
- Python 3
- Keras
- Numpy
- Matplotlib
- Pandas
- sklearn
## Parts
### Part 1:
In this part a build a CNN inspired by [SqueezeNet](https://arxiv.org/abs/1602.07360) model.
### Part 2:
part 2 based on transfer learning form mobilenet [MobileNet](https://arxiv.org/abs/1704.04861) model.
## References
- [Convolutional Neural Networks for Sentence Classification](http://arxiv.org/abs/1408.5882)
- [Bark101](http://eidolon.univ-lyon2.fr/~remi1/Bark-101/)
## License
This source is free to use.