I Trained a One-shot Prototypical Network with just 984 learnable parameters on MNIST, here's how it went. [R]
I've been experimenting with trying to make a "good" MNIST model by using just 10 images (1/class) and also keeping the model really small (under 1K parameters), overall this specific model achieves a validation accuracy
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