losses¶
Classes¶
class BinaryCrossentropy : A criterion to compute the binary cross entropy with contiguous targets.
class CategoricalCrossentropy : A criterion to compute the categorical cross entropy with contiguous targets.
class Loss : The base class for loss criterion.
class MeanAbsoluteError : A criterion to compute the reduced element-wise absolute value difference.
class MeanSquaredError : A criterion to compute the reduced element-wise squared error.
class SparseCategoricalCrossentropy : A criterion to compute the categorical cross entropy with sparse labels.
Functions¶
binary_crossentropy(…) : Compute the binary cross entropy with contiguous targets.
categorical_crossentropy(…) : Compute the categorical cross entropy with contiguous targets.
get(…) : Return the loss callable by identifier.
mean_absolute_error(…) : Compute the reduced element-wise absolute value difference.
mean_squared_error(…) : Compute the reduced element-wise squared error.
sparse_categorical_crossentropy(…) : Compute the categorical cross entropy with sparse labels.