I am using pre-trained and fine-tuned models for cell classification. The images were not seen before by any of the transfer learning models. In the process, I found that a fine-tuned VGG19 model outperforms the fine-tuned Inception-V3 mode though both these models are trained on the ImageNet data. What contributes to this difference? is it because of the model architecture?

  • One reason may be VGG19 model was not as 'over-fitted' as the 'inception-V3' model on the ImageNet data.
    – vijay m
    Jul 1, 2017 at 13:18


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