Marzi Heidari
Marzi Heidari
I used to believe in k-way-n-shot few-shot learning, k and n (number of classes and samples from each class respectively) must be the same in train and test phases. But...
I noticed that you implemented the training process by your customer functions `train_one_step` and `evaluate_one_step`. Is there a particular reason that you did not use ` model.fit`?
Could you please share a download link for ImageNet-100? The classes you're using seem different from those on the ImageNet-100 list on [this Kaggle page](https://www.kaggle.com/datasets/ambityga/imagenet100)