https://github.com/tomekkorbak/cifar10-experiments

I explore CIFAR-10 dataset, estabilish a kNN benchmark, extract features using a pre-trained ConvNet and then fit and evaluate an SVM classifier
https://github.com/tomekkorbak/cifar10-experiments

cifar10 convolutional-codes inception-v3 pytorch pytorch-cnn transfer-learning

Last synced: 5 days ago
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I explore CIFAR-10 dataset, estabilish a kNN benchmark, extract features using a pre-trained ConvNet and then fit and evaluate an SVM classifier

• Host: GitHub
• URL: https://github.com/tomekkorbak/cifar10-experiments
• Owner: tomekkorbak
• Created: 2018-02-08T15:18:05.000Z (almost 7 years ago)
• Default Branch: master
• Last Pushed: 2018-02-14T23:02:21.000Z (almost 7 years ago)
• Last Synced: 2024-10-30T06:40:52.754Z (about 2 months ago)
• Topics: cifar10, convolutional-codes, inception-v3, pytorch, pytorch-cnn, transfer-learning
• Language: Jupyter Notebook
• Homepage:
• Size: 4.46 MB
• Stars: 1
• Watchers: 2
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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# cifar10-experiments

My experiments with CIFAR-10 dataset. I the notebook I explore the dataset, estabilish a kNN benchmark, extract features using a pre-trained ConvNet and then fit and evaluate an SVM classifier.