src.model.losses.categorical module

src.model.losses.categorical.acce_noTrick(*args, categoricalMatrix: None | Variable = None, axis=-1, epsilon=1e-07, **kwargs) → Callable

src.model.losses.categorical.categoricalCrossentropy(*args, axis=-1, epsilon=1e-07, **kwargs) → Callable

src.model.losses.categorical.categoricalCrossentropyApple(*args, categoricalMatrix: None | Variable = None, axis=-1, epsilon=0.0001, **kwargs) → Callable

src.model.losses.categorical.categoricalCrossentropyAppleNoSigmoid(*args, categoricalMatrix: None | Variable = None, axis=-1, epsilon=1e-07, **kwargs) → Callable

src.model.losses.categorical.my_sigmoid(data, amplitude=1.0, smoothness=2.0, limit=10) → Tensor