tf.keras.losses.tversky

Computes the Tversky loss value between y_true and y_pred.

This loss function is weighted by the alpha and beta coefficients that penalize false positives and false negatives.

With alpha=0.5 and beta=0.5, the loss value becomes equivalent to Dice Loss.

y_true tensor of true targets.
y_pred tensor of predicted targets.
alpha coefficient controlling incidence of false positives.
beta coefficient controlling incidence of false negatives.

Tversky loss value.

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