Convolutional Neural Networks
GPTKB entity
Properties (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 |
Local Connectivity
Translation Invariance Shared Weights |
| gptkbp:developedBy |
gptkb:Yann_LeCun
|
| gptkbp:famousFor |
Deep Learning
|
| gptkbp:firstIntroduced |
1989
|
| gptkbp:hasCitations |
Difficult to Interpret
Requires Labeled Data Sensitive to Input Variations Overfitting Risk |
| gptkbp:hasRelatedPatent |
Natural Language Processing
Speech Recognition Game Playing |
| https://www.w3.org/2000/01/rdf-schema#label |
Convolutional Neural Networks
|
| gptkbp:illustratedBy |
gptkb:ResNet
gptkb:AlexNet VGGNet |
| gptkbp:isCounteredBy |
Data Augmentation
Transfer Learning Ensemble Methods Hyperparameter_Tuning |
| gptkbp:isEvaluatedBy |
F1 Score
Confusion Matrix Precision and Recall Accuracy_Metrics |
| gptkbp:isInfluencedBy |
gptkb:Biological_Neural_Networks
Human Visual System Mathematical_Concepts_of_Convolution |
| gptkbp:isPartOf |
Artificial Intelligence
Machine Learning Computer_Vision |
| gptkbp:isSupportedBy |
Cloud Computing
Open Source Frameworks Pre-trained_Models GPU_Acceleration |
| gptkbp:isTestedFor |
Pooling Operations
Convolutional Filters Fully_Connected_Layers |
| gptkbp:requires |
High Computational Power
Large Datasets |
| gptkbp:usedFor |
Image Classification
Image Recognition Object Detection Video Analysis |
| gptkbp:uses |
Backpropagation
Batch Normalization Gradient Descent Dropout Regularization |