|
gptkbp:instance_of
|
gptkb:television_channel
|
|
gptkbp:bfsLayer
|
4
|
|
gptkbp:bfsParent
|
gptkb:Dense_Net
|
|
gptkbp:architectural_style
|
gptkb:Deep_Learning
|
|
gptkbp:based_on
|
gptkb:Squeeze_Net
|
|
gptkbp:coat_of_arms
|
Convolutional layers
Fully connected layers
Pooling layers
|
|
gptkbp:developed_by
|
gptkb:Job_Search_Engine
|
|
gptkbp:engine
|
gptkb:software
gptkb:shopping_mall
Automotive
Finance
Healthcare
|
|
gptkbp:has_feature
|
Multiple paths
Auxiliary classifiers
Global average pooling
|
|
gptkbp:has_method
|
Over 6 million
Less than VGG Net
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Google Net
|
|
gptkbp:improves
|
Image classification accuracy
|
|
gptkbp:introduced
|
gptkb:2014
|
|
gptkbp:is_available_in
|
Open source
|
|
gptkbp:is_compared_to
|
gptkb:Mobile_Net
gptkb:Dense_Net
gptkb:Alex_Net
|
|
gptkbp:is_documented_in
|
Research papers
Technical blogs
|
|
gptkbp:is_evaluated_by
|
gptkb:CIFAR-10
gptkb:MNIST
gptkb:CIFAR-100
|
|
gptkbp:is_implemented_in
|
gptkb:Graphics_Processing_Unit
gptkb:Caffe
gptkb:Py_Torch
|
|
gptkbp:is_influenced_by
|
gptkb:Res_Net
VGG Net
|
|
gptkbp:is_known_for
|
Achieving high accuracy
Reducing parameters
|
|
gptkbp:is_optimized_for
|
Computational efficiency
|
|
gptkbp:is_part_of
|
gptkb:Image_Net_competition
|
|
gptkbp:is_supported_by
|
Community contributions
|
|
gptkbp:is_used_for
|
Feature extraction
Transfer learning
|
|
gptkbp:is_used_in
|
Image segmentation
Object detection
|
|
gptkbp:predecessor
|
gptkb:Inception-v2
gptkb:Inception-v3
|
|
gptkbp:uses
|
Inception modules
|
|
gptkbp:winner
|
gptkb:ILSVRC_2014
|