Unsupervised learning and continual learning in neural networks

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...

Detaylı Bibliyografya
Yazar:	Ji, X
Diğer Yazarlar:	Vedaldi, A
Materyal Türü:	Tez
Dil:	English
Baskı/Yayın Bilgisi:	2021
Konular:	Artificial intelligence Neural networks (Computer science) Computer vision

Benzer Materyaller

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Weed Density and Distribution Estimation for Precision Agriculture Using Semi-Supervised Learning
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Artificial intelligence and neural networks : 14th Turkish symposium, TAINN 2005, Izmir, Turkey, June 16-17, 2005 : revised selected papers /
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