elu¶

dragon.vm.tensorflow.nn.elu(
  features,
  alpha=1.0,
  name=None,
  **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 = tf.constant([-1., 0., 1.])
print(tf.nn.elu(x))

Parameters:

• features (dragon.Tensor) – The tensor \(x\).
• alpha (float, optional, default=1.) – The value to \(\alpha\).
• name (str, optional) – The operation name.

Returns:

dragon.Tensor – The output tensor.