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gptkbp:instance_of
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gptkb:microprocessor
|
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gptkbp:application
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gptkb:Autonomous_Vehicles
gptkb:viewpoint
gptkb:software
gptkb:robot
Object Detection
Facial Recognition
Image Segmentation
Medical Imaging
Video Analysis
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gptkbp:architectural_style
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gptkb:television_channel
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gptkbp:coat_of_arms
|
48
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gptkbp:community_support
|
active
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gptkbp:contribution
|
State-of-the-art performance in image recognition
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gptkbp:developed_by
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gptkb:Job_Search_Engine
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gptkbp:features
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Inception modules
Asymmetric convolutions
Factorized convolutions
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|
https://www.w3.org/2000/01/rdf-schema#label
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Inception v4.1
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gptkbp:improves
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gptkb:Inception_v3
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gptkbp:influenced
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gptkb:Mobile_Net
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gptkbp:influenced_by
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gptkb:Res_Net
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gptkbp:input_output
|
299x299
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|
gptkbp:is_a_framework_for
|
gptkb:Graphics_Processing_Unit
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gptkbp:is_available_on
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gptkb:archive
gptkb:Tensor_Flow_Hub
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|
gptkbp:is_cited_in
|
high
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|
gptkbp:is_evaluated_by
|
Top-1 accuracy
Top-5 accuracy
|
|
gptkbp:is_used_for
|
Image Classification
|
|
gptkbp:learns_move
|
gptkb:theorem
|
|
gptkbp:license
|
Apache License 2.0
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|
gptkbp:notable_feature
|
gptkb:Batch_Normalization
Global Average Pooling
Dropout layers
|
|
gptkbp:performance
|
FLO Ps
Top-5 accuracy of 3.08% on Image Net
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gptkbp:predecessor
|
gptkb:Inception_v3
|
|
gptkbp:publishes
|
Rethinking the Inception Architecture for Computer Vision
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gptkbp:related_to
|
gptkb:viewpoint
gptkb:Artificial_Intelligence
gptkb:software_framework
gptkb:Deep_Learning
|
|
gptkbp:release_date
|
gptkb:2016
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|
gptkbp:resolution
|
1000 classes
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|
gptkbp:successor
|
gptkb:Inception-Res_Net
|
|
gptkbp:training
|
gptkb:Image_Net
varies based on hardware
|
|
gptkbp:written_in
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gptkb:Library
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gptkbp:bfsParent
|
gptkb:Inception_v4
|
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gptkbp:bfsLayer
|
7
|