leaky_relu¶
dragon.nn.
leaky_relu
(
inputs,
alpha=0.2,
inplace=False,
**kwargs
)[source]¶Apply the leaky rectified linear unit.
The LeakyReLU function is defined as:
\[\text{LeakyReLU}(x) = \begin{cases} x, & \text{ if } x \geq 0 \\ \alpha * x, & \text{ otherwise } \end{cases} \]Examples:
x = dragon.constant([-1., 0., 1.]) print(dragon.nn.leaky_relu(x))
- Parameters:
- inputs (dragon.Tensor) – The input tensor.
- alpha (number, optional, default=0.2) – The value to \(\alpha\).
- inplace (bool, optional, default=False) – Call in-place or return a new tensor.
- Returns:
dragon.Tensor – The output tensor.