lzjpaul opened a new issue #856: URL: https://github.com/apache/singa/issues/856
For benchmark datasets, e.g., CIFAR-10 and ImageNet, the augmentation method is pre-defined before the model training, so the augmentation does not need to be carried out mini-batch wise. Instead, the augmentation can be done once before the training begins, in order to save time. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: [email protected]
