TensorFlow 1 version | View source on GitHub |
A LearningRateSchedule that uses an inverse time decay schedule.
Inherits From: LearningRateSchedule
tf.keras.optimizers.schedules.InverseTimeDecay(
initial_learning_rate, decay_steps, decay_rate, staircase=False, name=None
)
Args | |
---|---|
initial_learning_rate
|
A scalar float32 or float64 Tensor or a
Python number. The initial learning rate.
|
decay_steps
|
How often to apply decay. |
decay_rate
|
A Python number. The decay rate. |
staircase
|
Whether to apply decay in a discrete staircase, as opposed to continuous, fashion. |
name
|
String. Optional name of the operation. Defaults to 'InverseTimeDecay'. |
Methods
from_config
@classmethod
from_config( config )
Instantiates a LearningRateSchedule
from its config.
Args | |
---|---|
config
|
Output of get_config() .
|
Returns | |
---|---|
A LearningRateSchedule instance.
|
get_config
get_config()
__call__
__call__(
step
)
Call self as a function.