Inception (GoogLeNet) architecture

GPTKB entity

Predicate	Object
gptkbp:instanceOf	gptkb:convolutional_neural_network
gptkbp:activatedBy	gptkb:ReLU
gptkbp:arXivID	1409.4842
gptkbp:author	gptkb:Scott_Reed gptkb:Vincent_Vanhoucke gptkb:Wei_Liu gptkb:Christian_Szegedy gptkb:Dragomir_Anguelov gptkb:Dumitru_Erhan gptkb:Pierre_Sermanet gptkb:Yangqing_Jia gptkb:Andrew_Rabinovich
gptkbp:component	gptkb:Inception_module
gptkbp:designedFor	image classification
gptkbp:developedBy	gptkb:Google
gptkbp:digestSize	224x224 pixels
https://www.w3.org/2000/01/rdf-schema#label	Inception (GoogLeNet) architecture
gptkbp:inspiredBy	gptkb:Network-in-Network_architecture
gptkbp:introducedIn	gptkb:CVPR_2015 2014
gptkbp:layer	fully connected layer average pooling max pooling softmax layer 1x1 convolution 3x3 convolution 5x5 convolution
gptkbp:level	22
gptkbp:notableFeature	auxiliary classifiers 1x1 convolutions for dimensionality reduction parallel convolutional filters reduced parameter count
gptkbp:notablePublication	gptkb:Going_Deeper_with_Convolutions
gptkbp:outputLayer	softmax
gptkbp:parameter	5 million
gptkbp:platform	gptkb:TensorFlow gptkb:Caffe gptkb:PyTorch
gptkbp:poolingType	average pooling max pooling
gptkbp:successor	gptkb:Inception-ResNet gptkb:Inception-v2 gptkb:Inception-v3 gptkb:Inception-v4
gptkbp:usedFor	feature extraction transfer learning object detection
gptkbp:usedIn	gptkb:ImageNet_Large_Scale_Visual_Recognition_Challenge_2014
gptkbp:won	gptkb:ILSVRC_2014_classification_challenge
gptkbp:bfsParent	gptkb:Christian_Szegedy
gptkbp:bfsLayer	7