Information Bottleneck Theory Based Exploration of Cascade Learning

In solving challenging pattern recognition problems, deep neural networks have shown excellent performance by forming powerful mappings between inputs and targets, learning representations (features) and making subsequent predictions. A recent tool to help understand how representations are formed i...

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Hlavní autoři:	Xin Du, Katayoun Farrahi, Mahesan Niranjan
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2021-10-01
Edice:	Entropy
Témata:	information bottleneck theory Cascade Learning neural networks
On-line přístup:	https://www.mdpi.com/1099-4300/23/10/1360
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