tf.keras.optimizers.schedules.ExponentialDecay
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A LearningRateSchedule that uses an exponential decay schedule.
Inherits From: LearningRateSchedule
tf.keras.optimizers.schedules.ExponentialDecay(
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
|
A scalar int32 or int64 Tensor or a Python number.
Must be positive. See the decay computation above.
|
decay_rate
|
A scalar float32 or float64 Tensor or a
Python number. The decay rate.
|
staircase
|
Boolean. If True decay the learning rate at discrete
intervals
|
name
|
String. Optional name of the operation. Defaults to
'ExponentialDecay'.
|
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.
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