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https://github.com/adeel-intizar/cifar-10-state-of-the-art-model
TensorFlow / keras Implementation of a new Architecture on CIFAR-10 Dataset
https://github.com/adeel-intizar/cifar-10-state-of-the-art-model
cifar-10 cifar10 keras resnet resnet-50 senet tensorflow
Last synced: 21 days ago
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TensorFlow / keras Implementation of a new Architecture on CIFAR-10 Dataset
- Host: GitHub
- URL: https://github.com/adeel-intizar/cifar-10-state-of-the-art-model
- Owner: Adeel-Intizar
- Created: 2020-09-18T09:34:30.000Z (over 4 years ago)
- Default Branch: master
- Last Pushed: 2020-09-18T09:43:58.000Z (over 4 years ago)
- Last Synced: 2024-11-11T08:50:44.775Z (3 months ago)
- Topics: cifar-10, cifar10, keras, resnet, resnet-50, senet, tensorflow
- Language: Jupyter Notebook
- Homepage:
- Size: 29.3 MB
- Stars: 1
- Watchers: 3
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# CIFAR-10-State-of-the-art-Model
This Project Uses CIFAR-10 (the Canadian Institute for Advanced Research) Dataset
which consists of 10 different Categories of Objects.
This Project has achieved State-of-the-art Accuracy compared to other famous architecture like ResNet-50, DenseNet, SqueezeNet and others