| View source on GitHub | 
Hyperbolic tangent activation function.
tf.keras.activations.tanh(
    x
)
  a = tf.constant([-3.0,-1.0, 0.0,1.0,3.0], dtype = tf.float32) b = tf.keras.activations.tanh(a) b.numpy() array([-0.9950547, -0.7615942, 0., 0.7615942, 0.9950547], dtype=float32)
| Args | |
|---|---|
| x | Input tensor. | 
| Returns | |
|---|---|
| Tensor of same shape and dtype of input x, with tanh activation:tanh(x) = sinh(x)/cosh(x) = ((exp(x) - exp(-x))/(exp(x) + 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/tanh