|
gptkbp:instance_of
|
gptkb:software
|
|
gptkbp:bfsLayer
|
5
|
|
gptkbp:bfsParent
|
gptkb:Keras_Applications
|
|
gptkbp:can_be_used_with
|
Deep learning models
|
|
gptkbp:developed_by
|
gptkb:Job_Search_Engine
|
|
gptkbp:has_documentation
|
available online
|
|
gptkbp:has_feature
|
Visualization tools
Customizable search spaces
Easy-to-use API
Multi-Backend Support
|
|
gptkbp:has_version
|
1.0.0
1.1.0
1.2.0
1.4.0
1.3.0
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Keras Tuner
|
|
gptkbp:integrates_with
|
gptkb:Keras
|
|
gptkbp:is_accessible_by
|
pip
|
|
gptkbp:is_available_on
|
gptkb:archive
|
|
gptkbp:is_compatible_with
|
gptkb:Tensor_Flow_2.x
|
|
gptkbp:is_open_source
|
gptkb:theorem
|
|
gptkbp:is_optimized_for
|
Dropout rates
Activation functions
Batch size
Learning rate
Number of layers
Number of units per layer
|
|
gptkbp:is_part_of
|
Keras ecosystem
|
|
gptkbp:is_supported_by
|
gptkb:smartphone
gptkb:operating_system
|
|
gptkbp:is_used_by
|
gptkb:University
gptkb:physicist
Data scientists
Machine learning engineers
|
|
gptkbp:is_used_for
|
Natural language processing
Text classification
hyperparameter tuning
Image classification
Reinforcement learning
Time series forecasting
|
|
gptkbp:language
|
gptkb:Library
|
|
gptkbp:provides
|
gptkb:Hyperband
Bayesian optimization
Random search
|
|
gptkbp:released_in
|
gptkb:2020
|
|
gptkbp:requires
|
gptkb:Graphics_Processing_Unit
gptkb:Keras
|
|
gptkbp:supports
|
gptkb:Graphics_Processing_Unit
|
|
gptkbp:tutorials
|
available online
|