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Universal Approximation with Quadratic Deep Networks
Recently, deep learning has achieved huge successes in many important applications. In our previous studies, we proposed quadratic/second-order neurons and deep quadratic neural networks. In a quadratic neuron, the inner product of a vector of data and the corresponding weights in a conventional neu...
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| Publicado no: | Neural Netw |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7076904/ https://ncbi.nlm.nih.gov/pubmed/32062373 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neunet.2020.01.007 |
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