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rm module docstring
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src/losses/Losses.jl

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"""
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Flux.Losses
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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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"""
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module Losses
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using Statistics

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