Convolutional Neural Network
GPTKB entity
Statements (56)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
Neural Network
|
| gptkbp:appearsIn |
gptkb:Autonomous_Vehicles
Augmented Reality Medical Imaging Facial_Recognition |
| gptkbp:basedOn |
Convolutional Layers
Pooling Layers Activation Functions |
| gptkbp:characterizedBy |
Parameter Sharing
Translation Invariance Hierarchical Feature Learning |
| gptkbp:developedBy |
gptkb:Yann_LeCun
|
| gptkbp:famousFor |
Deep Learning
|
| gptkbp:firstIntroduced |
1989
|
| gptkbp:hasCitations |
Adversarial Attacks
Interpretability Small Datasets |
| gptkbp:hasRelatedPatent |
Natural Language Processing
Speech Recognition Game AI |
| https://www.w3.org/2000/01/rdf-schema#label |
Convolutional Neural Network
|
| gptkbp:isCounteredBy |
Backpropagation
Stochastic Gradient Descent |
| gptkbp:isEvaluatedBy |
Accuracy
F1 Score Precision Recall Confusion Matrix |
| gptkbp:isInfluencedBy |
gptkb:Biological_Neural_Networks
Visual Cortex Structure |
| gptkbp:isOptimizedFor |
Accuracy
Efficiency Speed |
| gptkbp:isPopularIn |
Finance
Retail Robotics Computer_Vision Security_Systems |
| gptkbp:isTrainedIn |
gptkb:Synthetic_Data
Labeled Data Unlabeled_Data |
| gptkbp:isUsedFor |
gptkb:Generative_Adversarial_Networks
Data Augmentation Recurrent Neural Networks Transfer Learning Regularization Techniques Attention Mechanisms |
| gptkbp:isVisitedBy |
gptkb:PyTorch
gptkb:Keras TensorFlow |
| gptkbp:requires |
High Computational Power
Large Datasets |
| gptkbp:usedFor |
Image Classification
Image Recognition Object Detection Video Analysis |