tl.losses

`tl.losses`#

Custom tf.Keras.losses.Loss functions for specific use cases.

Supply these (or your own) to a tl.TaskConfig to be able to use them for training.

Classes

`CosineMSELogLoss`	Custom loss function combining logarithmic transformation, cosine similarity, and mean squared error (MSE).
`CosineMSELoss`	Custom loss function that combines cosine similarity and mean squared error (MSE).
`GiniLoss`	Custom loss that varies between MAE and MSE depending on the gini score of the ground truth.
`PoissonKLLoss`	Poisson decomposition with Kullback-Leibler specificity term for aggregated counts.
`PoissonLoss`	Custom Poisson loss for count data with optional log(x + 1) transformation.
`PoissonMultinomialLoss`	Poisson decomposition with multinomial specificity term for aggregated counts.