https://github.com/rahulbhalley/alexnet-architecture.tensorflow
Unofficial TensorFlow implementation of "AlexNet" architecture.
https://github.com/rahulbhalley/alexnet-architecture.tensorflow
alexnet convolutional-neural-networks deep-learning deep-neural-networks imagenet supervised-learning tensorflow
Last synced: 8 days ago
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Unofficial TensorFlow implementation of "AlexNet" architecture.
- Host: GitHub
- URL: https://github.com/rahulbhalley/alexnet-architecture.tensorflow
- Owner: RahulBhalley
- License: mit
- Created: 2017-06-13T04:21:54.000Z (almost 8 years ago)
- Default Branch: master
- Last Pushed: 2018-08-17T10:56:37.000Z (over 6 years ago)
- Last Synced: 2025-03-31T04:04:53.786Z (about 2 months ago)
- Topics: alexnet, convolutional-neural-networks, deep-learning, deep-neural-networks, imagenet, supervised-learning, tensorflow
- Language: Python
- Homepage:
- Size: 10.7 KB
- Stars: 14
- Watchers: 2
- Forks: 3
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# AlexNet
AlexNet won the ImageNet LSVRC-2012 competition and achieved top-5 test error rate of 15.3%.
This is the implementation of AlexNet architecture as devised in the original paper 📝.
## Note
This is only the AlexNet architecture and does not include the training process.
## Related Paper 📝
[ImageNet Classification with Deep Convolutional Neural Networks](https://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks)