leaky_relu¶

dragon.vm.tensorflow.nn.leaky_relu(
  features,
  alpha=0.2,
  name=None,
  **kwargs
)[source]¶

Apply the leaky rectified linear unit.

The LeakyReLU function is defined as:

\[\text{LeakyReLU}(x) = \begin{cases} x, & \text{ if } x \geq 0 \\ \alpha * x, & \text{ otherwise } \end{cases} \]

Parameters:

• features (dragon.Tensor) – The input tensor.
• alpha (number, optional, default=0.2) – The value to \(\alpha\).
• name (str, optional) – The operation name.

Returns:

dragon.Tensor – The output tensor.