|
gptkbp:instance_of
|
gptkb:physicist
gptkb:Person
|
|
gptkbp:bfsLayer
|
4
|
|
gptkbp:bfsParent
|
gptkb:Batch_Normalization
|
|
gptkbp:affiliation
|
gptkb:Google_Research
|
|
gptkbp:awards
|
gptkb:IEEE_Fellow
gptkb:Google_Research_Award
ACM Fellow
Best Paper Award at CVPR
Best Paper Award at Neur IPS
|
|
gptkbp:birth_place
|
gptkb:Hungary
|
|
gptkbp:collaborations
|
gptkb:Ioffe,_Sergey
gptkb:Vanhoucke,_Vincent
gptkb:Zhang,_Hongyang
gptkb:Zhou,_Bolei
Szegedy, Christian
|
|
gptkbp:contribution
|
Adversarial Examples
Inception model
Inception Model
|
|
gptkbp:education
|
gptkb:University
gptkb:University_of_Illinois_at_Urbana-Champaign
|
|
gptkbp:field
|
Computer Science
|
|
gptkbp:field_of_study
|
gptkb:Artificial_Intelligence
gptkb:software_framework
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Christian Szegedy
|
|
gptkbp:influenced_by
|
gptkb:Fei-Fei_Li
gptkb:Yoshua_Bengio
gptkb:Andrew_Ng
gptkb:Geoffrey_R._Hinton
gptkb:Yann_Le_Cun
|
|
gptkbp:invention
|
Image Recognition System
Adversarial Training for Neural Networks
Image Classification using Deep Learning
Method for Improving Neural Network Robustness
Method for Training Neural Networks
|
|
gptkbp:known_for
|
gptkb:television_channel
Image Net Competition
|
|
gptkbp:nationality
|
gptkb:Native_American_tribe
Hungarian
|
|
gptkbp:offers_degree
|
Ph D
|
|
gptkbp:project
|
gptkb:philosopher
gptkb:Graphics_Processing_Unit
gptkb:Google_Brain
gptkb:Open_AI
gptkb:Auto_ML
gptkb:Image_Net_Challenge
gptkb:Neural_Architecture_Search
Robustness of Neural Networks
|
|
gptkbp:publishes
|
Image Net Classification with Deep Convolutional Neural Networks
Tensor Flow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
Going Deeper with Convolutions
Intriguing properties of neural networks
Rethinking the Inception Architecture for Computer Vision
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|
gptkbp:research_focus
|
gptkb:software_framework
|
|
gptkbp:work
|
gptkb:microprocessor
gptkb:Image_Net
gptkb:Deep_Learning
|