https://github.com/sayakpaul/transfer-learning-with-cifar10

Leveraging Transfer Learning on the classic CIFAR-10 dataset by using the weights from a pre-trained VGG-16 model.
https://github.com/sayakpaul/transfer-learning-with-cifar10

convolutional-neural-networks deep-learning keras transfer-learning vgg-16

Last synced: 26 days ago
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Leveraging Transfer Learning on the classic CIFAR-10 dataset by using the weights from a pre-trained VGG-16 model.

• Host: GitHub
• URL: https://github.com/sayakpaul/transfer-learning-with-cifar10
• Owner: sayakpaul
• Created: 2018-10-20T09:18:06.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2018-11-15T03:05:36.000Z (over 6 years ago)
• Last Synced: 2025-03-31T12:04:50.868Z (2 months ago)
• Topics: convolutional-neural-networks, deep-learning, keras, transfer-learning, vgg-16
• Language: Jupyter Notebook
• Homepage:
• Size: 203 KB
• Stars: 10
• Watchers: 0
• Forks: 7
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Transfer Learning using a pre-trained VGG16 model on CIFAR-10 dataset. 

Reference: 

[Hands-On Transfer Learning with Python](https://www.packtpub.com/big-data-and-business-intelligence/hands-transfer-learning-python)