sigmoid¶

dragon.vm.tensorflow.math.sigmoid(
  x,
  name=None,
  **kwargs
)[source]¶

Compute the sigmoid function.

\[\text{out} = \frac{1}{1 + \exp(-\text{input})} \]

Examples:

x = tf.constant([0.2, 0.4, 0.6, 0.8, 1.0])
print(tf.math.sigmoid(x))

Parameters:

• x (dragon.Tensor) – The input tensor.
• name (str, optional) – The operation name.

Returns:

dragon.Tensor – The output tensor