tf.keras.backend.relu
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Rectified linear unit.
tf.keras.backend.relu(
x, alpha=0.0, max_value=None, threshold=0
)
With default values, it returns element-wise max(x, 0).
Otherwise, it follows:
f(x) = max_value for x >= max_value,
f(x) = x for threshold <= x < max_value,
f(x) = alpha * (x - threshold) otherwise.
Arguments |
|---|
x
|
A tensor or variable.
|
alpha
|
A scalar, slope of negative section (default=0.).
|
max_value
|
float. Saturation threshold.
|
threshold
|
float. Threshold value for thresholded activation.
|
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Last updated 2020-10-01 UTC.
[null,null,["Last updated 2020-10-01 UTC."],[],[],null,["# tf.keras.backend.relu\n\n\u003cbr /\u003e\n\n|----------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------|\n| [TensorFlow 2 version](/api_docs/python/tf/keras/backend/relu) | [View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v1.15.0/tensorflow/python/keras/backend.py#L4209-L4259) |\n\nRectified linear unit.\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.backend.relu`](/api_docs/python/tf/keras/backend/relu), \\`tf.compat.v2.keras.backend.relu\\`\n\n\u003cbr /\u003e\n\n tf.keras.backend.relu(\n x, alpha=0.0, max_value=None, threshold=0\n )\n\nWith default values, it returns element-wise `max(x, 0)`.\n\nOtherwise, it follows:\n`f(x) = max_value` for `x \u003e= max_value`,\n`f(x) = x` for `threshold \u003c= x \u003c max_value`,\n`f(x) = alpha * (x - threshold)` otherwise.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Arguments --------- ||\n|-------------|-----------------------------------------------------|\n| `x` | A tensor or variable. |\n| `alpha` | A scalar, slope of negative section (default=`0.`). |\n| `max_value` | float. Saturation threshold. |\n| `threshold` | float. Threshold value for thresholded activation. |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| A tensor. ||\n\n\u003cbr /\u003e"]]
TensorFlow 2 version
View source on GitHub