elu¶
- dragon.nn.- elu(
 inputs,
 alpha=1.0,
 inplace=False,
 **kwargs
 )[source]¶
- Apply the exponential linear unit. [Clevert et.al, 2015]. - The ELU function is defined as: \[\text{ELU}(x) = \begin{cases} x, & \text{ if } x \geq 0 \\ \alpha * (\exp(x) - 1), & \text{ otherwise } \end{cases} \]- Examples: - x = dragon.constant([-1., 0., 1.]) print(dragon.nn.elu(x)) - Parameters:
- inputs (dragon.Tensor) – The input tensor.
- alpha (float, optional, default=1.0) – The value to \(\alpha\).
- inplace (bool, optional, default=False) – Call in-place or return a new tensor.
 
 - Returns:
- dragon.Tensor – The output tensor. 
 
