|
gptkbp:instanceOf
|
gptkb:model
gptkb:convolutional_neural_network
|
|
gptkbp:activatedBy
|
gptkb:ReLU
sigmoid
|
|
gptkbp:architecture
|
generative model
probabilistic graphical model
|
|
gptkbp:canBe
|
data compression
natural language processing
speech recognition
image recognition
anomaly detection
|
|
gptkbp:category
|
gptkb:model
gptkb:convolutional_neural_network
generative model
unsupervised learning model
|
|
gptkbp:composedOf
|
multiple layers of restricted Boltzmann machines
sigmoid belief networks
|
|
gptkbp:field
|
gptkb:artificial_intelligence
gptkb:machine_learning
deep learning
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
deep belief network
|
|
gptkbp:implementedIn
|
gptkb:TensorFlow
gptkb:MATLAB
gptkb:Theano
gptkb:PyTorch
|
|
gptkbp:influenced
|
deep learning
modern neural network architectures
|
|
gptkbp:influencedBy
|
Boltzmann machine
sigmoid belief network
|
|
gptkbp:introduced
|
gptkb:Geoffrey_Hinton
|
|
gptkbp:introducedIn
|
2006
|
|
gptkbp:notablePublication
|
gptkb:A_Fast_Learning_Algorithm_for_Deep_Belief_Nets_(Hinton_et_al.,_2006)
gptkb:Reducing_the_Dimensionality_of_Data_with_Neural_Networks_(Hinton_&_Salakhutdinov,_2006)
|
|
gptkbp:relatedTo
|
gptkb:model
gptkb:restricted_Boltzmann_machine
gptkb:convolutional_neural_network
|
|
gptkbp:trainer
|
backpropagation
greedy layer-wise pretraining
|
|
gptkbp:type
|
supervised (fine-tuning)
unsupervised
|
|
gptkbp:usedFor
|
gptkb:dictionary
regression
dimensionality reduction
unsupervised learning
feature learning
|
|
gptkbp:bfsParent
|
gptkb:restricted_Boltzmann_machine
|
|
gptkbp:bfsLayer
|
5
|