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...
Egile nagusia: | Ji, X |
---|---|
Beste egile batzuk: | Vedaldi, A |
Formatua: | Thesis |
Hizkuntza: | English |
Argitaratua: |
2021
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Gaiak: |
Antzeko izenburuak
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Unsupervised learning procedures for neural networks /
nork: 214129 Becker, Susan -
Unsupervised point cloud representation learning with deep neural networks: a survey
nork: Xiao, Aoran, et al.
Argitaratua: (2023) -
Artificial neural networks /
nork: International Conference on Artificial Neural Networks (2nd : 1991 : Bournemouth International Centre, UK), et al.
Argitaratua: (1991) -
Neural network design and the complexity of learning /
nork: 445119 Judd, J. Stephen
Argitaratua: (1990) -
Artificial neural network - ICANN 97 /
nork: International Conference of Artificial neural Networks (7th : 1997 : Lausanne, Switzerland), et al.
Argitaratua: (1997)