sigmoid¶
dragon.vm.tensorflow.keras.activations.
sigmoid
(
x,
**kwargs
)[source]¶Apply the sigmoid function to input.
The Sigmoid function is defined as:
\[\text{Sigmoid}(x) = \frac{1}{1 + \exp(-x)} \]Examples:
x = tf.constant([0.2, 0.4, 0.6, 0.8, 1.0], 'float32') print(tf.keras.activations.sigmoid(x, inplace=False))
- Parameters:
- x (dragon.Tensor) – The input tensor.
- Returns:
dragon.Tensor – The output tensor