tf.keras.optimizers.schedules.PolynomialDecay
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A LearningRateSchedule that uses a polynomial decay schedule.
Inherits From: LearningRateSchedule
tf.keras.optimizers.schedules.PolynomialDecay(
initial_learning_rate, decay_steps, end_learning_rate=0.0001, power=1.0,
cycle=False, name=None
)
Args |
|---|
initial_learning_rate
|
A scalar float32 or float64 Tensor or a
Python number. The initial learning rate.
|
decay_steps
|
A scalar int32 or int64 Tensor or a Python number.
Must be positive. See the decay computation above.
|
end_learning_rate
|
A scalar float32 or float64 Tensor or a
Python number. The minimal end learning rate.
|
power
|
A scalar float32 or float64 Tensor or a
Python number. The power of the polynomial. Defaults to linear, 1.0.
|
cycle
|
A boolean, whether or not it should cycle beyond decay_steps.
|
name
|
String. Optional name of the operation. Defaults to
'PolynomialDecay'.
|
Methods
from_config
View source
@classmethod
from_config(
config
)
Instantiates a LearningRateSchedule from its config.
| Args |
|---|
config
|
Output of get_config().
|
| Returns |
|---|
A LearningRateSchedule instance.
|
get_config
View source
get_config()
__call__
View source
__call__(
step
)
Call self as a function.
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Last updated 2020-10-01 UTC.
[null,null,["Last updated 2020-10-01 UTC."],[],[],null,["# tf.keras.optimizers.schedules.PolynomialDecay\n\n\u003cbr /\u003e\n\n|----------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [TensorFlow 2 version](/api_docs/python/tf/keras/optimizers/schedules/PolynomialDecay) | [View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v1.15.0/tensorflow/python/keras/optimizer_v2/learning_rate_schedule.py#L267-L406) |\n\nA LearningRateSchedule that uses a polynomial decay schedule.\n\nInherits From: [`LearningRateSchedule`](../../../../tf/keras/optimizers/schedules/LearningRateSchedule)\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.optimizers.schedules.PolynomialDecay`](/api_docs/python/tf/keras/optimizers/schedules/PolynomialDecay), \\`tf.compat.v2.keras.optimizers.schedules.PolynomialDecay\\`, \\`tf.compat.v2.optimizers.schedules.PolynomialDecay\\`\n\n\u003cbr /\u003e\n\n tf.keras.optimizers.schedules.PolynomialDecay(\n initial_learning_rate, decay_steps, end_learning_rate=0.0001, power=1.0,\n cycle=False, name=None\n )\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|-------------------------|--------------------------------------------------------------------------------------------------------------------|\n| `initial_learning_rate` | A scalar `float32` or `float64` `Tensor` or a Python number. The initial learning rate. |\n| `decay_steps` | A scalar `int32` or `int64` `Tensor` or a Python number. Must be positive. See the decay computation above. |\n| `end_learning_rate` | A scalar `float32` or `float64` `Tensor` or a Python number. The minimal end learning rate. |\n| `power` | A scalar `float32` or `float64` `Tensor` or a Python number. The power of the polynomial. Defaults to linear, 1.0. |\n| `cycle` | A boolean, whether or not it should cycle beyond decay_steps. |\n| `name` | String. Optional name of the operation. Defaults to 'PolynomialDecay'. |\n\n\u003cbr /\u003e\n\nMethods\n-------\n\n### `from_config`\n\n[View source](https://github.com/tensorflow/tensorflow/blob/v1.15.0/tensorflow/python/keras/optimizer_v2/learning_rate_schedule.py#L50-L60) \n\n @classmethod\n from_config(\n config\n )\n\nInstantiates a `LearningRateSchedule` from its config.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ||\n|----------|---------------------------|\n| `config` | 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 `LearningRateSchedule` instance. ||\n\n\u003cbr /\u003e\n\n### `get_config`\n\n[View source](https://github.com/tensorflow/tensorflow/blob/v1.15.0/tensorflow/python/keras/optimizer_v2/learning_rate_schedule.py#L398-L406) \n\n get_config()\n\n### `__call__`\n\n[View source](https://github.com/tensorflow/tensorflow/blob/v1.15.0/tensorflow/python/keras/optimizer_v2/learning_rate_schedule.py#L369-L396) \n\n __call__(\n step\n )\n\nCall self as a function."]]
TensorFlow 2 version
View source on GitHub