| View source on GitHub | 
Exponential activation function.
tf.keras.activations.exponential(
    x
)
  a = tf.constant([-3.0,-1.0, 0.0,1.0,3.0], dtype = tf.float32) b = tf.keras.activations.exponential(a) b.numpy() array([0.04978707, 0.36787945, 1., 2.7182817 , 20.085537], dtype=float32)
| Args | |
|---|---|
| x | Input tensor. | 
| Returns | |
|---|---|
| Tensor with exponential activation: exp(x). | 
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Licensed under the Creative Commons Attribution License 4.0.
Code samples licensed under the Apache 2.0 License.
    https://www.tensorflow.org/versions/r2.9/api_docs/python/tf/keras/activations/exponential