Deep Neural Networks for Image Classification
GPTKB entity
Statements (50)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
scientific research
|
| gptkbp:appliesTo |
computer vision
|
| gptkbp:bench |
gptkb:COCO
gptkb:CIFAR-10 gptkb:CIFAR-100 gptkb:ImageNet gptkb:MNIST |
| gptkbp:challenge |
overfitting
computational cost interpretability adversarial attacks requirement for large datasets |
| gptkbp:enables |
autonomous vehicles
content moderation facial recognition image search medical image analysis object recognition scene understanding |
| gptkbp:hasApplication |
gptkb:security
agriculture cloud computing entertainment healthcare industrial automation retail robotics smartphones edge devices |
| https://www.w3.org/2000/01/rdf-schema#label |
Deep Neural Networks for Image Classification
|
| gptkbp:milestone |
gptkb:Inception
gptkb:ResNet gptkb:VGGNet gptkb:EfficientNet gptkb:AlexNet |
| gptkbp:relatedTo |
deep learning
image classification |
| gptkbp:technique |
batch normalization
data augmentation dropout regularization ensemble learning fine-tuning |
| gptkbp:uses |
backpropagation
convolutional neural networks supervised learning transfer learning large labeled datasets |
| gptkbp:bfsParent |
gptkb:Christian_Szegedy
|
| gptkbp:bfsLayer |
7
|