Unsupervised learning and continual learning in neural networks
<p>For decades research has pursued the ambitious goal of designing computer models that learn to solve problems as effectively as humans can. Artificial neural networks -- generic, optimizable models that were originally inspired by biological neurons in the brain -- appear to provide a promi...
Κύριος συγγραφέας: | Ji, X |
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Άλλοι συγγραφείς: | Vedaldi, A |
Μορφή: | Thesis |
Γλώσσα: | English |
Έκδοση: |
2021
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Θέματα: |
Παρόμοια τεκμήρια
Παρόμοια τεκμήρια
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Unsupervised learning procedures for neural networks /
ανά: 214129 Becker, Susan -
Unsupervised point cloud representation learning with deep neural networks: a survey
ανά: Xiao, Aoran, κ.ά.
Έκδοση: (2023) -
Artificial neural networks /
ανά: International Conference on Artificial Neural Networks (2nd : 1991 : Bournemouth International Centre, UK), κ.ά.
Έκδοση: (1991) -
Neural network design and the complexity of learning /
ανά: 445119 Judd, J. Stephen
Έκδοση: (1990) -
Artificial neural network - ICANN 97 /
ανά: International Conference of Artificial neural Networks (7th : 1997 : Lausanne, Switzerland), κ.ά.
Έκδοση: (1997)