Properties (52)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:physicist
|
| gptkbp:appliesTo |
Stochastic Gradient Descent
|
| gptkbp:developedBy |
gptkb:D.P_Kingma
|
| gptkbp:hasFeature |
Epsilon
Beta1 Beta2 |
| https://www.w3.org/2000/01/rdf-schema#label |
Adam Optimizer
|
| gptkbp:improves |
Convergence Speed
|
| gptkbp:isBasedOn |
Noisy_Gradients
|
| gptkbp:isChallengedBy |
Adaptive_Optimizers
Newer_Optimizers |
| gptkbp:isConsidered |
State-of-the-Art Optimizer
|
| gptkbp:isDocumentedIn |
Books
Research Papers Online Tutorials |
| gptkbp:isEvaluatedBy |
Loss Function
Training Time Non-Convex Problems Generalization Performance Model_Accuracy |
| gptkbp:isLedBy |
Learning Rate Selection
|
| gptkbp:isLocatedIn |
gptkb:PyTorch
TensorFlow |
| gptkbp:isPartOf |
gptkb:Adagrad
SGD RMSProp |
| gptkbp:isPopularIn |
Deep Learning
|
| gptkbp:isRecognizedFor |
Computer_Vision_Tasks
NLP_Tasks |
| gptkbp:isSuitableFor |
Large Datasets
|
| gptkbp:isSupportedBy |
Community Contributions
Open Source Libraries Framework Documentation |
| gptkbp:isTrainedIn |
Hyperparameter_Optimization
|
| gptkbp:isUsedFor |
Neural Networks
Momentum and RMSProp |
| gptkbp:isUsedIn |
gptkb:Convolutional_Neural_Networks
Anomaly Detection Autoencoders Image Classification Reinforcement Learning Researchers Speech Recognition Recurrent Neural Networks Transfer Learning Generative Models Time_Series_Forecasting Graph_Neural_Networks |
| gptkbp:provides |
Adaptive_Learning_Rates
|
| gptkbp:requires |
Learning Rate
|
| gptkbp:usedIn |
Machine Learning
|
| gptkbp:yearEstablished |
2014
|