Wednesday 16 January 2019

TensorFlow Keras Loss Functions


keras.losses.mean_squared_error             (y_true, y_pred)
keras.losses.mean_absolute_error            (y_true, y_pred)
keras.losses.mean_absolute_percentage_error (y_true, y_pred)
keras.losses.mean_squared_logarithmic_error (y_true, y_pred)
keras.losses.squared_hinge                  (y_true, y_pred)
keras.losses.hinge                          (y_true, y_pred)
keras.losses.categorical_hinge              (y_true, y_pred)
keras.losses.logcosh                        (y_true, y_pred)
keras.losses.categorical_crossentropy       (y_true, y_pred)
keras.losses.sparse_categorical_crossentropy(y_true, y_pred)
keras.losses.binary_crossentropy            (y_true, y_pred)
keras.losses.kullback_leibler_divergence    (y_true, y_pred)
keras.losses.poisson                        (y_true, y_pred)
keras.losses.cosine_proximity               (y_true, y_pred)

Reference: keras.io

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