Statements (62)
Predicate | Object |
---|---|
gptkbp:instance_of |
gptkb:microprocessor
|
gptkbp:based_on |
Inception architecture
Residual connections |
gptkbp:can_be_used_with |
gptkb:Res_Net_architecture
Inception modules |
gptkbp:developed_by |
gptkb:Job_Search_Engine
|
gptkbp:has |
high accuracy
high throughput multiple versions |
gptkbp:has_achievements |
state-of-the-art performance
|
https://www.w3.org/2000/01/rdf-schema#label |
Inception-Res Net
|
gptkbp:improves |
gradient flow
|
gptkbp:introduced |
gptkb:2016
|
gptkbp:is |
gptkb:television_channel
gptkb:software_framework scalable efficient widely used in competitions robust to overfitting |
gptkbp:is_compared_to |
other architectures
|
gptkbp:is_designed_to |
handle vanishing gradients
|
gptkbp:is_evaluated_by |
gptkb:Image_Net_dataset
cross-validation |
gptkbp:is_implemented_in |
gptkb:Graphics_Processing_Unit
gptkb:Keras gptkb:Py_Torch |
gptkbp:is_influenced_by |
gptkb:Res_Ne_Xt_architecture
Dense Net architecture |
gptkbp:is_known_for |
high performance
modular design flexibility in design multi-path architecture |
gptkbp:is_optimized_for |
GPU acceleration
|
gptkbp:is_part_of |
deep learning frameworks
AI research community |
gptkbp:is_popular_in |
gptkb:physicist
|
gptkbp:is_used_for |
image classification
|
gptkbp:is_used_in |
gptkb:engine
real-time applications augmented reality systems object detection tasks medical image analysis facial recognition systems image retrieval systems computer vision tasks image segmentation tasks content-based image retrieval style transfer applications video analysis tasks |
gptkbp:reduces |
computational cost
|
gptkbp:successor |
gptkb:Res_Net
gptkb:Inception_v3 |
gptkbp:suitable_for |
edge computing applications
large-scale image datasets transfer learning tasks |
gptkbp:supports |
transfer learning
|
gptkbp:training |
large datasets
backpropagation |
gptkbp:tuning |
specific tasks
|
gptkbp:utilizes |
batch normalization
|
gptkbp:bfsParent |
gptkb:Inception_Network
|
gptkbp:bfsLayer |
4
|