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...
Tác giả chính: | Ji, X |
---|---|
Tác giả khác: | Vedaldi, A |
Định dạng: | Luận văn |
Ngôn ngữ: | English |
Được phát hành: |
2021
|
Những chủ đề: |
Những quyển sách tương tự
-
Unsupervised learning procedures for neural networks /
Bằng: 214129 Becker, Susan -
Unsupervised point cloud representation learning with deep neural networks: a survey
Bằng: Xiao, Aoran, et al.
Được phát hành: (2023) -
Artificial neural networks /
Bằng: International Conference on Artificial Neural Networks (2nd : 1991 : Bournemouth International Centre, UK), et al.
Được phát hành: (1991) -
Neural network design and the complexity of learning /
Bằng: 445119 Judd, J. Stephen
Được phát hành: (1990) -
Artificial neural network - ICANN 97 /
Bằng: International Conference of Artificial neural Networks (7th : 1997 : Lausanne, Switzerland), et al.
Được phát hành: (1997)