tf.keras.constraints.NonNeg
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Constrains the weights to be non-negative.
Inherits From: Constraint
Methods
from_config
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@classmethod from_config( config )
Instantiates a weight constraint from a configuration dictionary.
Example:
constraint = UnitNorm() config = constraint.get_config() constraint = UnitNorm.from_config(config)
| Args |
|---|
config | A Python dictionary, the output of get_config(). |
get_config
View source
get_config()
Returns a Python dict of the object config.
A constraint config is a Python dictionary (JSON-serializable) that can be used to reinstantiate the same object.
| Returns |
|---|
| Python dict containing the configuration of the constraint object. |
__call__
View source
__call__( w )
Applies the constraint to the input weight variable.
By default, the inputs weight variable is not modified. Users should override this method to implement their own projection function.
| Args |
|---|
w | Input weight variable. |
| Returns |
|---|
| Projected variable (by default, returns unmodified inputs). |
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Last updated 2024-06-07 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-06-07 UTC."],[],[],null,["# tf.keras.constraints.NonNeg\n\n\u003cbr /\u003e\n\n|-------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/keras-team/keras/tree/v3.3.3/keras/src/constraints/constraints.py#L119-L125) |\n\nConstrains the weights to be non-negative.\n\nInherits From: [`Constraint`](../../../tf/keras/constraints/Constraint)\n\n#### View aliases\n\n\n**Main aliases**\n\n[`tf.keras.constraints.non_neg`](https://www.tensorflow.org/api_docs/python/tf/keras/constraints/NonNeg)\n\n\u003cbr /\u003e\n\nMethods\n-------\n\n### `from_config`\n\n[View source](https://github.com/keras-team/keras/tree/v3.3.3/keras/src/constraints/constraints.py#L59-L77) \n\n @classmethod\n from_config(\n config\n )\n\nInstantiates a weight constraint from a configuration dictionary.\n\n#### Example:\n\n constraint = UnitNorm()\n config = constraint.get_config()\n constraint = UnitNorm.from_config(config)\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ||\n|----------|----------------------------------------------------|\n| `config` | A Python dictionary, the output of `get_config()`. |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ||\n|---|---|\n| A [`keras.constraints.Constraint`](../../../tf/keras/constraints/Constraint) instance. ||\n\n\u003cbr /\u003e\n\n### `get_config`\n\n[View source](https://github.com/keras-team/keras/tree/v3.3.3/keras/src/constraints/constraints.py#L48-L57) \n\n get_config()\n\nReturns a Python dict of the object config.\n\nA constraint config is a Python dictionary (JSON-serializable) that can\nbe used to reinstantiate the same object.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ||\n|---|---|\n| Python dict containing the configuration of the constraint object. ||\n\n\u003cbr /\u003e\n\n### `__call__`\n\n[View source](https://github.com/keras-team/keras/tree/v3.3.3/keras/src/constraints/constraints.py#L123-L125) \n\n __call__(\n w\n )\n\nApplies the constraint to the input weight variable.\n\nBy default, the inputs weight variable is not modified.\nUsers should override this method to implement their own projection\nfunction.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ||\n|-----|------------------------|\n| `w` | Input weight variable. |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ||\n|---|---|\n| Projected variable (by default, returns unmodified inputs). ||\n\n\u003cbr /\u003e"]]
View source on GitHub