selu¶
dragon.vm.tensorflow.keras.activations.
selu
(
x,
**kwargs
)[source]¶Apply the scaled exponential linear unit to input. [Klambauer et.al, 2017].
\[\text{SELU}(x) = 1.0507 * \begin{cases} x, & \text{ if } x \geq 0 \\ 1.67326 * (\exp(x) - 1), & \text{ otherwise } \end{cases} \]Examples:
x = tf.constant([-1, 0, 1], 'float32') print(tf.keras.activations.selu(x, inplace=False))
- Parameters:
- x (dragon.Tensor) – The input tensor.
- Returns:
dragon.Tensor – The output tensor.