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In the original paper, the authors claimed that MAML needs second gradient and Hessian-vector products. Could you explain how do you implement this or Pytorch just do this automatically? Thanks!
The text was updated successfully, but these errors were encountered:
The results in the original paper claim K-shot, which comes to a doubt that the K means the number on the stage of meta-training or meta-testing (fine-tuning) with regard to the different shot number in the code.
In the original paper, the authors claimed that MAML needs second gradient and Hessian-vector products. Could you explain how do you implement this or Pytorch just do this automatically? Thanks!
The text was updated successfully, but these errors were encountered: