Scott H. Hinton

GPTKB entity

Properties (54)
Predicate Object
gptkbp:instanceOf Person
gptkbp:academicAdvisor gptkb:David_E._Rumelhart
gptkbp:affiliation gptkb:University_of_Toronto
gptkbp:awards Turing Award
gptkbp:birthYear 1947
gptkbp:contribution gptkb:Deep_Belief_Networks
Boltzmann machines
Dropout technique
Backpropagation algorithm
ImageNet_competition_winner
gptkbp:field Computer Science
gptkbp:founder gptkb:Vector_Institute
https://www.w3.org/2000/01/rdf-schema#label Scott H. Hinton
gptkbp:influenced gptkb:Yoshua_Bengio
gptkbp:influencedBy gptkb:Geoffrey_Hinton
gptkbp:knownFor Contributions to deep learning
gptkbp:nationality Canadian
gptkbp:notableFeature gptkb:Alex_Krizhevsky
gptkb:Ilya_Sutskever
gptkbp:publications Auto-Encoding Variational Bayes
Learning Representations by Back-propagating Errors
Learning Multiple Layers of Features from Tiny Images
A Practical Guide to Training Restricted Boltzmann Machines
Deep_Learning_for_Computer_Vision
Deep_Learning_for_Natural_Language_Processing
Deep_Learning_for_Time_Series_Analysis
ImageNet_Classification_with_Deep_Convolutional_Neural_Networks
A_Fast_Learning_Algorithm_for_Deep_Belief_Nets
Deep_Learning_for_Cybersecurity
Deep_Learning_for_Education
Deep_Learning_for_Finance
Deep_Learning_for_Internet_of_Things
Deep_Learning_for_Reinforcement_Learning
Deep_Learning_for_Robotics
Deep_Learning_for_Smart_Cities
Deep_Learning_for_Speech_Recognition
Reducing_the_Dimensionality_of_Data_with_Neural_Networks
Neural_Networks_and_Deep_Learning
Deep_Learning_(book)
Deep_Learning_for_Astronomy
Deep_Learning_for_Climate_Science
Deep_Learning_for_Drug_Discovery
Deep_Learning_for_Genomics
Deep_Learning_for_Graph_Data
Deep_Learning_for_Medical_Imaging
Deep_Learning_for_Social_Media_Analysis
Deep_Learning_for_Sports_Analytics
Distilling_the_Knowledge_in_a_Neural_Network
Neural_Networks_for_Machine_Learning_(course)
Neural_Networks_for_Pattern_Recognition
gptkbp:researchAreas Artificial Intelligence
Cognitive Science
Machine Learning
gptkbp:researchFocus Neural Networks