TensorFlow 1 version | View source on GitHub |
Hyperbolic tangent activation function.
tf.keras.activations.tanh(
x
)
For 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)
Arguments | |
---|---|
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))) .
|