tf.math.sigmoid

TensorFlow 1 version

Computes sine of x element-wise.

View aliases

Main aliases

tf.sin

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.math.sin, tf.compat.v1.sin

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

Used in the notebooks

Used in the guide	Used in the tutorials
Advanced Automatic Differentiation Introduction to gradients and automatic differentiation	TFP Release Notes notebook (0.12.1)

Given an input tensor, this function computes sine of every element in the tensor. Input range is (-inf, inf) and output range is [-1,1].

  x = tf.constant([-float("inf"), -9, -0.5, 1, 1.2, 200, 10, float("inf")])
  tf.math.sin(x) ==> [nan -0.4121185 -0.47942555 0.84147096 0.9320391 -0.87329733 -0.54402107 nan]

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`.

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tf.math / sigmoid

View aliases

Used in the notebooks

Args

Returns