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gptkbp:instance_of
|
gptkb:Google
|
|
gptkbp:applies_to
|
gptkb:neural_networks
|
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gptkbp:developed_by
|
gptkb:D._P_Kingma
|
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gptkbp:features
|
Weight Decay
|
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gptkbp:has_function
|
gptkb:Epsilon
Learning Rate
Beta1
Beta2
|
|
https://www.w3.org/2000/01/rdf-schema#label
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Adam W
|
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gptkbp:improves
|
gptkb:Adam_Optimizer
|
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gptkbp:introduced_in
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gptkb:2017
|
|
gptkbp:is_a
|
Stochastic Optimization Algorithm
|
|
gptkbp:is_adopted_by
|
Academia
Startups
Tech Companies
|
|
gptkbp:is_analyzed_in
|
gptkb:historical_analysis
Performance Reviews
Algorithm Evaluations
|
|
gptkbp:is_based_on
|
gptkb:Momentum
Adaptive Learning Rate Methods
|
|
gptkbp:is_compared_to
|
gptkb:Adam
SGD
RMSprop
|
|
gptkbp:is_considered_as
|
State-of-the-Art Optimizer
Standard Optimizer
|
|
gptkbp:is_documented_in
|
Research Papers
Online Tutorials
Technical Blogs
|
|
gptkbp:is_evaluated_by
|
Performance Metrics
Benchmark Tests
|
|
gptkbp:is_implemented_in
|
gptkb:Tensor_Flow
gptkb:Py_Torch
|
|
gptkbp:is_influenced_by
|
gptkb:Adam_Optimizer
SGD
RMSprop
|
|
gptkbp:is_known_for
|
Efficiency
Robustness
Adaptive Learning Rates
|
|
gptkbp:is_popular_in
|
Machine Learning Community
|
|
gptkbp:is_recommended_by
|
gptkb:Industry
gptkb:research
|
|
gptkbp:is_supported_by
|
Community Contributions
Open Source Projects
|
|
gptkbp:is_used_for
|
Training Models
|
|
gptkbp:is_used_in
|
gptkb:Computer_Vision
gptkb:Natural_Language_Processing
|
|
gptkbp:suitable_for
|
Large Datasets
High Dimensional Data
|
|
gptkbp:tuning
|
Grid Search
Random Search
Hyperparameter Optimization
Bayesian Optimization
|
|
gptkbp:used_in
|
gptkb:Deep_Learning
|
|
gptkbp:bfsParent
|
gptkb:Adam_Optimizer
|
|
gptkbp:bfsLayer
|
5
|