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In the paper, I found this sentence,
Unlike FOMAML, Reptile doesn’t need a training-test split for each task, which
may make it a more natural choice in certain settings
(https://arxiv.org/pdf/1803.02999.pdf)
it means I dont need to split data?(support set and query set in each episode in train data set)
Am I right?
The text was updated successfully, but these errors were encountered:
I think you are interpreting the sentence correctly. Basically, Reptile doesn't require you to split up each mini-dataset during meta-learning. It seems that FOMAML works mostly because there's a separate mini-test-set that has a useful gradient after the model has fully overfit to the mini-training-set.
In the paper, I found this sentence,
Unlike FOMAML, Reptile doesn’t need a training-test split for each task, which
may make it a more natural choice in certain settings
(https://arxiv.org/pdf/1803.02999.pdf)
it means I dont need to split data?(support set and query set in each episode in train data set)
Am I right?
The text was updated successfully, but these errors were encountered: