tf.math.subtract

TensorFlow 1 version

Computes hyperbolic tangent of x element-wise.

View aliases

Main aliases

tf.nn.tanh, tf.tanh

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.math.tanh, tf.compat.v1.nn.tanh, tf.compat.v1.tanh

tf.math.tanh(
    x, name=None
)

Used in the notebooks

Used in the guide	Used in the tutorials
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Given an input tensor, this function computes hyperbolic tangent of every element in the tensor. Input range is [-inf, inf] and output range is [-1,1].

  x = tf.constant([-float("inf"), -5, -0.5, 1, 1.2, 2, 3, float("inf")])
  tf.math.tanh(x)
    <tf.Tensor: shape=(8,), dtype=float32, numpy=
    array([-1.        , -0.99990916, -0.46211717,  0.7615942 ,  0.8336547 ,
            0.9640276 ,  0.9950547 ,  1.        ], dtype=float32)>

Args
`x`	A `Tensor`. Must be one of the following types: `bfloat16`, `half`, `float32`, `float64`, `complex64`, `complex128`.
`name`	A name for the operation (optional).

Returns
A `Tensor`. Has the same type as `x`. If `x` is a `SparseTensor`, returns `SparseTensor(x.indices, tf.math.tanh(x.values, ...), x.dense_shape)`

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tf.math / subtract

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Used in the notebooks

Args

Returns