Statements (49)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:model
theoretical computer science artificial intelligence technique |
| gptkbp:application |
autonomous vehicles
robotics diagnosis financial forecasting fraud detection game playing image generation language translation recommendation systems speech synthesis |
| gptkbp:basedOn |
biological neural networks
|
| gptkbp:consistsOf |
weights
activation functions artificial neurons layers |
| gptkbp:developedBy |
1940s
|
| https://www.w3.org/2000/01/rdf-schema#label |
artificial neural networks
|
| gptkbp:limitation |
computationally intensive
lack interpretability require large datasets |
| gptkbp:popularizedBy |
gptkb:Geoffrey_Hinton
gptkb:Yann_LeCun gptkb:Yoshua_Bengio gptkb:Frank_Rosenblatt |
| gptkbp:relatedTo |
gptkb:machine_learning
cognitive science deep learning connectionism |
| gptkbp:trainer |
backpropagation
gradient descent |
| gptkbp:type |
gptkb:model
gptkb:convolutional_neural_network gptkb:feedforward_neural_network gptkb:radial_basis_function_network recurrent neural network |
| gptkbp:usedFor |
gptkb:dictionary
natural language processing speech recognition function approximation image recognition pattern recognition regression time series prediction |
| gptkbp:bfsParent |
gptkb:McCulloch–Pitts_neuron
gptkb:Yoshua_Bengio |
| gptkbp:bfsLayer |
4
|