[손실함수] Loss Functions

Theories/Loss 2018. 10. 12. 16:42

Cosine Similarity (코사인 유사도) Equation$$similarity = cos(\theta) = \frac{A\cdot B}{||A||\cdot||B||} = \frac{\sum^{n}_{i=1}A_iB_i}{\sqrt{\sum^{n}_{i=1}A_i^2}\sqrt{\sum^{n}_{i=1}B_i^2}}$$Keraskeras.losses.cosine_proximity(y_true, y_pred) Pytorch torch.nn.functional.cosine_similarity(x1, x2, dim=1, eps=1e-08) ExplanationCosine Similarity - 코사인 유사도란? [새 창]

Article Thumbnail