Computes the npairs loss between `y_true` and `y_pred`.
loss_npairs(name = "npairs_loss")
| name | Optional name for the op. |
|---|
npairs_loss: float scalar.
Npairs loss expects paired data where a pair is composed of samples from the same labels and each pairs in the minibatch have different labels. The loss takes each row of the pair-wise similarity matrix, `y_pred`, as logits and the remapped multi-class labels, `y_true`, as labels. The similarity matrix `y_pred` between two embedding matrices `a` and `b` with shape `[batch_size, hidden_size]` can be computed as follows: ``` # y_pred = a * b^T y_pred = tf$matmul(a, b, transpose_a=FALSE, transpose_b=TRUE) ``` See: http://www.nec-labs.com/uploads/images/Department-Images/MediaAnalytics/papers/nips16_npairmetriclearning.pdf