TensorFlow 1 version
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View source on GitHub
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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 | |
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x
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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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