Properties (55)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
Neural Network
|
| gptkbp:canBe |
True
|
| gptkbp:canLeadTo |
True
Dropout L2 Regularization Early Stopping |
| gptkbp:hasArtStyle |
gptkb:Convolutional_Neural_Network
gptkb:Feedforward_Neural_Network Recurrent Neural Network |
| gptkbp:hasMajorCity |
Hidden Layer
Output Layer Input_Layer |
| https://www.w3.org/2000/01/rdf-schema#label |
Traditional Neural Networks
|
| gptkbp:isChallengedBy |
Adversarial Attacks
Noisy Data Data Imbalance |
| gptkbp:isEvaluatedBy |
Accuracy
Loss Function Confusion Matrix Validation Set Test Set |
| gptkbp:isInfluencedBy |
gptkb:Biological_Neural_Networks
|
| gptkbp:isLocatedIn |
gptkb:PyTorch
Python TensorFlow |
| gptkbp:isOptimizedFor |
Learning Rate
Batch Size Number of Epochs |
| gptkbp:isRelatedTo |
Deep Learning
Machine Learning |
| gptkbp:isStudiedIn |
Hyperparameters
|
| gptkbp:isSupportedBy |
Cloud Computing
Distributed Computing GPU_Acceleration |
| gptkbp:isTrainedIn |
Backpropagation
Gradient Descent |
| gptkbp:isUsedFor |
Classification
Clustering Regression Transfer Learning Ensemble Methods Activation Maps Weight Matrices |
| gptkbp:isUsedIn |
Image Recognition
Natural Language Processing Speech Recognition |
| gptkbp:isVisitedBy |
gptkb:Geoffrey_Hinton
gptkb:Yoshua_Bengio gptkb:Yann_LeCun Exploding Gradient Problem Vanishing Gradient Problem |
| gptkbp:requires |
Labeled Data
|
| gptkbp:utilizes |
ReLU
Sigmoid Tanh |