Using data agumentation for a frozen pre-trained model
No, you can definitely use data augmentation when the layers of the pre-trained model are frozen.

In this article, the author refers to the size of VGG16 which is quite a large CNN. Also, he trains the model on his CPU which slows down training even more. Therefore, he does not want to use data augmentation, as that would increase the training time even more:


  Running VGG16 is expensive, especially if you're working on CPU, and we want to only do it once. Note that this prevents us from using data augmentation.