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gptkbp:instance_of
|
gptkb:API
|
|
gptkbp:affects
|
learning rate
|
|
gptkbp:applies_to
|
training process
|
|
gptkbp:can
|
True or False
|
|
gptkbp:can_be_combined_with
|
other callbacks
|
|
gptkbp:can_be_configured_for
|
initial learning rate
custom metrics
|
|
gptkbp:can_be_used_with
|
gptkb:Tensor_Flow
|
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gptkbp:example
|
learning rate scheduler
|
|
gptkbp:functionality
|
Reduce learning rate when a metric has stopped improving
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Reduce LROn Plateau Callback
|
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gptkbp:improves
|
model performance
|
|
gptkbp:is_applied_in
|
any optimizer
|
|
gptkbp:is_available_in
|
gptkb:API
|
|
gptkbp:is_available_on
|
Keras 2.0.0
|
|
gptkbp:is_beneficial_for
|
convergence speed
|
|
gptkbp:is_commonly_configured_with
|
early stopping
|
|
gptkbp:is_compatible_with
|
Tensor Flow versions
|
|
gptkbp:is_documented_in
|
API reference
Keras documentation
|
|
gptkbp:is_effective_against
|
avoiding local minima
|
|
gptkbp:is_implemented_in
|
gptkb:Python
Keras team
|
|
gptkbp:is_often_used_in
|
CNNs
deep learning
|
|
gptkbp:is_part_of
|
training loop
Keras callbacks
model optimization strategies
model training workflow
|
|
gptkbp:is_recommended_for
|
large datasets
|
|
gptkbp:is_related_to
|
learning rate scheduling
|
|
gptkbp:is_supported_by
|
community contributions
|
|
gptkbp:is_targeted_at
|
lack of improvement
|
|
gptkbp:is_tested_for
|
model validation
real-world datasets
|
|
gptkbp:is_used_for
|
hyperparameter tuning
overfitting prevention
|
|
gptkbp:is_used_in
|
neural network training
|
|
gptkbp:is_used_to
|
adjust learning rate dynamically
|
|
gptkbp:is_utilized_by
|
data scientists
|
|
gptkbp:orbital_period
|
gptkb:monitor
gptkb:video_game
patience
verbose
factor
cooldown
min_delta
min_lr
|
|
gptkbp:requires
|
monitoring metric
|
|
gptkbp:used_in
|
gptkb:Keras
|
|
gptkbp:bfsParent
|
gptkb:fastai.callback.tracker
|
|
gptkbp:bfsLayer
|
7
|