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Deep Learning: Difference between revisions
→Meta Learning
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* Define prototypes (cluster centers) | * Define prototypes (cluster centers) | ||
** <math>c_k = \frac{1}{|D_i^{tr}|} \sum_{(x,y) \in S_k} f_{\theta}(x)</math> | ** <math>c_k = \frac{1}{|D_i^{tr}|} \sum_{(x,y) \in S_k} f_{\theta}(x)</math> | ||
** <math>P_{\theta | ** <math>P_{\theta}(y=k|x) = \frac{\exp(-d(f_{\theta}(x), c_k))}{\sum_{k'} \exp(-d(f_{\theta}(x), c_k))}</math> | ||
4: <math>A</math> is a black box (e.g. LSTM). | 4: <math>A</math> is a black box (e.g. LSTM). | ||