Statements (80)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:neural_networks
|
| gptkbp:application |
gptkb:Computer_Vision
|
| gptkbp:architecture |
gptkb:Deep_Learning
|
| gptkbp:coat_of_arms |
159
|
| gptkbp:contribution |
Improved model efficiency
|
| gptkbp:developed_by |
gptkb:Google
|
| gptkbp:evaluates |
Top-1 accuracy
Top-5 accuracy |
| gptkbp:features |
Global Average Pooling
Asymmetric convolutions Factorized convolutions |
| https://www.w3.org/2000/01/rdf-schema#label |
Inception-v2
|
| gptkbp:improves |
gptkb:Inception-v1
|
| gptkbp:influenced_by |
gptkb:Res_Net
gptkb:VGGNet gptkb:Squeeze_Net |
| gptkbp:input_output |
299x299
|
| gptkbp:key_feature |
Modular design
Support for agriculture Support for wildlife conservation Support for cloud computing Support for transfer learning Scalable architecture Support for disaster response Support for edge computing Support for climate change research Support for mobile applications Support for image segmentation Support for embedded systems Support for augmented reality Support for environmental monitoring Support for virtual reality Inception modules Support for real-time processing Support for facial recognition Support for smart cities Support for robotics Support for Io T applications Auxiliary classifiers Enhanced feature extraction Flexible input size Improved convergence speed Improved parameter efficiency Multi-branch architecture Reduced overfitting Reduction modules Robustness to noise Support for autonomous vehicles Support for fine-tuning Support for industrial automation Support for large-scale deployment Support for medical imaging Support for multi-task learning Support for object detection Support for satellite imagery Support for scene understanding Support for security applications Support for surveillance systems |
| gptkbp:notable_for |
gptkb:Tensor_Flow
gptkb:Keras gptkb:Open_CV gptkb:Google_Photos |
| gptkbp:optimization_technique |
gptkb:Batch_Normalization
gptkb:Dropout Data Augmentation |
| gptkbp:performance |
FLOPs
Top-5 accuracy of 3.08% on Image Net |
| gptkbp:predecessor |
gptkb:Inception-v1
|
| gptkbp:provides_information_on |
gptkb:Image_Net
Large-scale datasets |
| gptkbp:release_date |
gptkb:2016
|
| gptkbp:research_areas |
gptkb:Artificial_Intelligence
gptkb:machine_learning gptkb:Deep_Learning |
| gptkbp:resolution |
1000 classes
|
| gptkbp:successor |
gptkb:Inception-v3
|
| gptkbp:training |
gptkb:stage_adaptation
|
| gptkbp:used_for |
Image Classification
|
| gptkbp:bfsParent |
gptkb:Inception_Network
|
| gptkbp:bfsLayer |
5
|