I would like to use the CNN pre-trained model in feature extraction but I don't know what features are extracted from that. Please let me know!

  • $\begingroup$ Googling might help you more! In general we extract the last layers weights and then apply other things on top of that $\endgroup$ – Aditya Jan 10 '19 at 6:00

Here is a good post about how features are extracted using CNN: https://towardsdatascience.com/cnn-application-on-structured-data-automated-feature-extraction-8f2cd28d9a7e

"I don't know what features are extracted from that."
It depends on what dataset was that CNN pre-trained on. E.g. if the model was pre-trained on a dataset consisting of dogs and cats, the features should contain useful information about dogs and cats.

In practice it turned out that models pre-trained on ImageNet dataset extract features which are a good starting point for training on other custom datasets.


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