Evaluation of transfer learning and data augmentation in AlexNet, VGG-16 and ResNet for image classification on Caltech-101.
Experiments are carried out in PyTorch.
🔗 More information about the experiments and discussion available in the report.
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Exploration of various deep learning CNNs (Alexnet, VGG-16, ResNet) for image classification on dataset Caltech-101. Transfer learning and data augmentation were applied to compare results with the training from scratch approach.
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hadinej/DL-Image-classification-techniques
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Exploration of various deep learning CNNs (Alexnet, VGG-16, ResNet) for image classification on dataset Caltech-101. Transfer learning and data augmentation were applied to compare results with the training from scratch approach.
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