Difference between shots and train_shots about supervised-reptile HOT 3 CLOSED

For omniglot data, is there a initializer (initial weights) you use to start the training with? As I see in the code, it seems random initialization. Is it true?

from supervised-reptile.

In response to your first question: shots is the number of examples per class during evaluation. However, we found that we got better performance on 1-shot and 5-shot classification if we trained the model using more examples per class (e.g. 15). Train shots is thus the number of examples per class used at training time.

Regarding your second question: we use TensorFlow's default random initialization.

from supervised-reptile.

Thanks for the response.

from supervised-reptile.