sigmoid

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

Apply the sigmoid function.

The Sigmoid function is defined as:

\[\text{Sigmoid}(x) = \frac{1}{1 + e^{-x}} \]

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) – A optional name for the operation.
Returns:

dragon.Tensor – The output tensor