|
gptkbp:instance_of
|
gptkb:Computer_Scientist
|
|
gptkbp:academic_advisor
|
gptkb:Geoffrey_R._Hinton
|
|
gptkbp:affiliation
|
gptkb:University_of_Toronto
|
|
gptkbp:author
|
gptkb:Alex_Krizhevsky
gptkb:Ilya_Sutskever
|
|
gptkbp:awards
|
gptkb:Turing_Award
|
|
gptkbp:birth_date
|
1947-12-06
|
|
gptkbp:education
|
gptkb:University_of_Cambridge
gptkb:University_of_Edinburgh
|
|
gptkbp:field
|
gptkb:Artificial_Intelligence
gptkb:machine_learning
|
|
gptkbp:founder
|
gptkb:Vector_Institute
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Geoffrey P. Hinton
|
|
gptkbp:influenced
|
gptkb:Yoshua_Bengio
gptkb:Ian_Goodfellow
|
|
gptkbp:influenced_by
|
gptkb:David_Rumelhart
|
|
gptkbp:invention
|
data compression techniques
neural network architectures
pattern recognition systems
machine learning methods
image processing methods
|
|
gptkbp:involvement
|
gptkb:Deep_Mind
gptkb:academic_conferences
gptkb:Google_Brain
gptkb:NVIDIA
research publications
AI ethics discussions
collaborative research projects
AI research community
public speaking engagements
technology commercialization
mentoring students
|
|
gptkbp:known_for
|
gptkb:Image_Net_competition
deep learning
Boltzmann machines
backpropagation algorithm
capsule networks
dropout technique
|
|
gptkbp:nationality
|
gptkb:Canadian
|
|
gptkbp:occupation
|
gptkb:Professor
|
|
gptkbp:research_areas
|
cognitive psychology
computer vision
speech recognition
|
|
gptkbp:research_focus
|
gptkb:neural_networks
|
|
gptkbp:residence
|
gptkb:Toronto
|
|
gptkbp:bfsParent
|
gptkb:Retro_Engine
|
|
gptkbp:bfsLayer
|
6
|