1
$\begingroup$

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!

$\endgroup$
  • $\begingroup$ 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
0
$\begingroup$

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.

$\endgroup$

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy

Not the answer you're looking for? Browse other questions tagged or ask your own question.