tf.keras.activations.sigmoid
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Sigmoid activation function, sigmoid(x) = 1 / (1 + exp(-x)).
View aliases
Compat aliases for migration
See
Migration guide for
more details.
`tf.compat.v1.keras.activations.sigmoid`
tf.keras.activations.sigmoid(
x
)
Applies the sigmoid activation function. For small values (<-5),
sigmoid returns a value close to zero, and for large values (>5)
the result of the function gets close to 1.
Sigmoid is equivalent to a 2-element Softmax, where the second element is
assumed to be zero. The sigmoid function always returns a value between
0 and 1.
Example:
a = tf.constant([-20, -1.0, 0.0, 1.0, 20], dtype = tf.float32)
b = tf.keras.activations.sigmoid(a)
b.numpy()
array([2.0611537e-09, 2.6894143e-01, 5.0000000e-01, 7.3105860e-01,
1.0000000e+00], dtype=float32)
Returns |
|---|
Tensor with the sigmoid activation: 1 / (1 + exp(-x)).
|
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Last updated 2023-10-06 UTC.
[null,null,["Last updated 2023-10-06 UTC."],[],[],null,["# tf.keras.activations.sigmoid\n\n\u003cbr /\u003e\n\n|----------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/keras-team/keras/tree/v2.13.1/keras/activations.py#L388-L418) |\n\nSigmoid activation function, `sigmoid(x) = 1 / (1 + exp(-x))`.\n\n#### View aliases\n\n\n**Compat aliases for migration**\n\nSee\n[Migration guide](https://www.tensorflow.org/guide/migrate) for\nmore details.\n\n\\`tf.compat.v1.keras.activations.sigmoid\\`\n\n\u003cbr /\u003e\n\n tf.keras.activations.sigmoid(\n x\n )\n\nApplies the sigmoid activation function. For small values (\\\u003c-5),\n`sigmoid` returns a value close to zero, and for large values (\\\u003e5)\nthe result of the function gets close to 1.\n\nSigmoid is equivalent to a 2-element Softmax, where the second element is\nassumed to be zero. The sigmoid function always returns a value between\n0 and 1.\n\n#### Example:\n\n a = tf.constant([-20, -1.0, 0.0, 1.0, 20], dtype = tf.float32)\n b = tf.keras.activations.sigmoid(a)\n b.numpy()\n array([2.0611537e-09, 2.6894143e-01, 5.0000000e-01, 7.3105860e-01,\n 1.0000000e+00], dtype=float32)\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|-----|---------------|\n| `x` | Input tensor. |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| Tensor with the sigmoid activation: `1 / (1 + exp(-x))`. ||\n\n\u003cbr /\u003e"]]
View source on GitHub