View source on GitHub
|
Logarithm of the sigmoid activation function.
tf.keras.ops.log_sigmoid(
x
)
It is defined as f(x) = log(1 / (1 + exp(-x))).
Args | |
|---|---|
x
|
Input tensor. |
Returns | |
|---|---|
A tensor with the same shape as x.
|
Example:
x = keras.ops.convert_to_tensor([-0.541391, 0.0, 0.50, 5.0])keras.ops.log_sigmoid(x)array([-1.0000418, -0.6931472, -0.474077, -0.00671535], dtype=float32)