Comments (3)
yaoyao-liu
commented on June 21, 2024
Thanks for your interest in this project.
If you use the default libraries of TensorFlow or PyTorch to build the deep neural networks, the order of samples in a single batch will be ignored. So the default setting for shuffle is False. You could set it True. It depends on your code.
If you hope to see an example of how this repo work in a real case, you may see: Meta-Transfer Learning.
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dsmic
commented on June 21, 2024
Thanks a lot for the very fast reply. I had an ugly error in my code which lead this assumption...
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yaoyao-liu
commented on June 21, 2024
Welcome. Feel free to create another issue if you have other questions.
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Related Issues (9)
- How to create the csv files? HOT 4
- Google drive link for preprocessed mini-imagenet is down. HOT 1
- What is "episode num"? HOT 1
- Hello, do you know how to generate the pickle file for miniImagenet? HOT 2
- Reference Ravi and Larochelle in About section HOT 1
- Missing images when compared to the provided csv files HOT 1
- directly share a google drive link? HOT 4
- mini_imagenet_dataloader.py: 189 should be self.num_samples_per_class*self.way_num HOT 2
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