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src/losses/Losses.jl
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-"""
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- Flux.Losses
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-
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-This sub-module contains many loss functions, all of which accept two arguments,
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-with the model output as the fist argument: `loss(model(x), y)`.
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-It also contains a few related utilities, such as `label_smoothing`.
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-The complete list of exports is:
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- label_smoothing,
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- mse, mae, msle,
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- crossentropy,
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- logitcrossentropy,
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- binarycrossentropy,
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- logitbinarycrossentropy,
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- kldivergence,
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- huber_loss,
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- tversky_loss,
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- dice_coeff_loss,
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- poisson_loss,
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- hinge_loss,
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- squared_hinge_loss,
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- binary_focal_loss,
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- focal_loss,
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- siamese_contrastive_loss
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module Losses
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using Statistics
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