View source on GitHub |
Hyperbolic tangent activation function.
tf.keras.activations.tanh(
x
)
Example:
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 | |
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x
|
Input tensor. |
Returns | |
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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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