Pretrained classifier in one of demonstration ipynb files

[1W1521375]

Hello,
I am new to ART and have a question about a pretrained classifier on CIFAR-10, which is used in the this .ipynb file.

I would like to know whether the classifier loaded in the third block code as classifier_model was trained just with the original 50,000 training data from the official CIFAR-10 dataset.

This is the download link in the example: https://www.dropbox.com/s/ta75pl4krya5djj/cifar_resnet.h5?dl=1

Thank you in advance

[beat-buesser]

Hi @1W1521375 Yes, I think that model has been trained on the entire CIFAR10 training set (50'000 images).

[1W1521375]

@beat-buesser
I'm glad to hear that... and thank you for the answer.
Is there any other information about this pretrained classifier?
(e.g., readme by its author)

[beat-buesser]

@1W1521375 No, unfortunately the mode has been contributed without the training script. We are going to replace it with a better suited model soon in #1298