class_docstr: Applies an Exponential Linear Unit function to an output.
  
  Formula:
  
  ```
  f(x) = alpha * (exp(x) - 1.) for x < 0
  f(x) = x for x >= 0
  ```
  
  Args:
      alpha: float, slope of negative section. Defaults to `1.0`.
      **kwargs: Base layer keyword arguments, such as `name` and `dtype`.
code: def call(self, inputs):
      return activations.elu(inputs, alpha=self.alpha)
  
file_path: keras/keras/layers/activations/elu.py
imports: from keras import activations
  from keras.api_export import keras_export
  from keras.layers.layer import Layer
label_desc: Use image node_id 2 for calling the ELU obj's underlying member method code with example usage: obj.call(inputs) and returns: activations