Continuously Constructive Deep Neural Networks

Traditionally, deep learning algorithms update the network weights, whereas the network architecture is chosen manually using a process of trial and error. In this paper, we propose two novel approaches that automatically update the network structure while also learning its weights. The novelty of o...

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Vydané v:	IEEE transaction on neural networks and learning systems Ročník 31; číslo 4; s. 1124 - 1133
Hlavní autori:	Irsoy, Ozan, Alpaydin, Ethem
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States IEEE 01.04.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Artificial neural networks Complexity theory Computer architecture Constructive learning Deep learning Learning algorithms Machine learning Network architecture Neural networks Parameterization Parameters Road transportation Task complexity Training
ISSN:	2162-237X, 2162-2388, 2162-2388
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