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gptkbp:instance_of
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gptkb:television_channel
|
|
gptkbp:architectural_style
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gptkb:Deep_Learning
|
|
gptkbp:competes_with
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gptkb:Dense_Net
gptkb:Res_Net
|
|
gptkbp:developed_by
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gptkb:Job_Search_Engine
|
|
gptkbp:features
|
Inception modules
Asymmetric convolutions
Factorized convolutions
|
|
gptkbp:has_variants
|
gptkb:Inception_v4.1
gptkb:Inception_v4.2
gptkb:Inception_v4.3
gptkb:Inception_v4.4
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|
https://www.w3.org/2000/01/rdf-schema#label
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Inception v4
|
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gptkbp:improves
|
gptkb:Inception_v3
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|
gptkbp:influenced_by
|
gptkb:Goog_Le_Net
VGG Net
|
|
gptkbp:is_designed_for
|
Large-scale image recognition
|
|
gptkbp:is_implemented_in
|
gptkb:Graphics_Processing_Unit
gptkb:Keras
|
|
gptkbp:is_part_of
|
gptkb:viewpoint
gptkb:Artificial_Intelligence
Deep Learning community
|
|
gptkbp:is_related_to
|
gptkb:Image_Net
Feature extraction
Data augmentation
Transfer learning
Neural architecture search
|
|
gptkbp:is_used_for
|
Image Classification
|
|
gptkbp:is_used_in
|
gptkb:robot
gptkb:Self-driving_cars
Medical imaging
Augmented reality
Image segmentation
Augmented reality applications
E-commerce platforms
Social media platforms
Facial recognition
Video analysis
Object detection
Generative models
Style transfer
Scene understanding
Smartphone applications
|
|
gptkbp:notable_for
|
High performance on COCO dataset
High performance on Open Images dataset
High performance on Places dataset
Winning the ILSVRC 2016
|
|
gptkbp:part_of
|
Inception family
|
|
gptkbp:published_by
|
gptkb:ar_Xiv
|
|
gptkbp:release_date
|
gptkb:2016
|
|
gptkbp:resulted_in
|
Top-5 accuracy of 80.2% on Image Net
|
|
gptkbp:successor
|
gptkb:Inception-Res_Net_v2
|
|
gptkbp:supports
|
Multi-scale processing
|
|
gptkbp:uses
|
Batch normalization
Dropout regularization
|
|
gptkbp:bfsParent
|
gptkb:Inception_family_of_models
gptkb:Inception_v3
|
|
gptkbp:bfsLayer
|
6
|