https://github.com/yeonghyeon/xception-tf2
TensorFlow implementation of "Xception: Deep Learning with Depthwise Separable Convolutions"
https://github.com/yeonghyeon/xception-tf2
convolutional-neural-network convolutional-neural-networks mnist mnist-classification
Last synced: 4 months ago
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TensorFlow implementation of "Xception: Deep Learning with Depthwise Separable Convolutions"
- Host: GitHub
- URL: https://github.com/yeonghyeon/xception-tf2
- Owner: YeongHyeon
- License: mit
- Created: 2020-08-11T11:43:30.000Z (about 5 years ago)
- Default Branch: master
- Last Pushed: 2020-08-19T01:18:29.000Z (about 5 years ago)
- Last Synced: 2025-02-26T05:32:53.160Z (7 months ago)
- Topics: convolutional-neural-network, convolutional-neural-networks, mnist, mnist-classification
- Language: Python
- Homepage:
- Size: 613 KB
- Stars: 3
- Watchers: 3
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
[TensorFlow 2] Xception: Deep Learning with Depthwise Separable Convolutions
=====
TensorFlow implementation of "Xception: Deep Learning with Depthwise Separable Convolutions"
## Related Repositories
Inception_Simplified-TF2
## Concept
The Xception module comparing with the Inception module [1].
Comparing the Inception and the Xception module via 3D view.
## Performance
|Indicator|Value|
|:---|:---:|
|Accuracy|0.99480|
|Precision|0.99469|
|Recall|0.99486|
|F1-Score|0.99477|
```
Confusion Matrix
[[ 977 0 0 0 0 0 1 0 1 1]
[ 1 1127 0 0 3 0 1 3 0 0]
[ 1 0 1026 0 0 0 1 2 2 0]
[ 0 0 2 1001 0 5 0 0 2 0]
[ 0 0 0 0 979 0 0 0 1 2]
[ 0 0 0 3 0 888 1 0 0 0]
[ 2 0 0 0 0 1 955 0 0 0]
[ 0 1 1 0 0 0 0 1024 1 1]
[ 1 0 0 0 0 0 0 0 972 1]
[ 0 0 0 0 6 2 0 1 1 999]]
Class-0 | Precision: 0.99491, Recall: 0.99694, F1-Score: 0.99592
Class-1 | Precision: 0.99911, Recall: 0.99295, F1-Score: 0.99602
Class-2 | Precision: 0.99708, Recall: 0.99419, F1-Score: 0.99563
Class-3 | Precision: 0.99701, Recall: 0.99109, F1-Score: 0.99404
Class-4 | Precision: 0.99089, Recall: 0.99695, F1-Score: 0.99391
Class-5 | Precision: 0.99107, Recall: 0.99552, F1-Score: 0.99329
Class-6 | Precision: 0.99583, Recall: 0.99687, F1-Score: 0.99635
Class-7 | Precision: 0.99417, Recall: 0.99611, F1-Score: 0.99514
Class-8 | Precision: 0.99184, Recall: 0.99795, F1-Score: 0.99488
Class-9 | Precision: 0.99502, Recall: 0.99009, F1-Score: 0.99255
Total | Accuracy: 0.99480, Precision: 0.99469, Recall: 0.99486, F1-Score: 0.99477
```
## Requirements
* Python 3.7.6
* Tensorflow 2.1.0
* Numpy 1.18.1
* Matplotlib 3.1.3
## Reference
[1] François Chollet (2016). Xception: Deep Learning with Depthwise Separable Convolutions. arXiv preprint arXiv:1610.02357.