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...
Main Author: | Ji, X |
---|---|
Other Authors: | Vedaldi, A |
Format: | Thesis |
Language: | English |
Published: |
2021
|
Subjects: |
Similar Items
-
Unsupervised learning procedures for neural networks /
by: 214129 Becker, Susan -
Unsupervised point cloud representation learning with deep neural networks: a survey
by: Xiao, Aoran, et al.
Published: (2023) -
Artificial neural networks /
by: International Conference on Artificial Neural Networks (2nd : 1991 : Bournemouth International Centre, UK), et al.
Published: (1991) -
Neural network design and the complexity of learning /
by: 445119 Judd, J. Stephen
Published: (1990) -
Artificial neural network - ICANN 97 /
by: International Conference of Artificial neural Networks (7th : 1997 : Lausanne, Switzerland), et al.
Published: (1997)