Who invented deep residual learning?
Fuente:
arXiv
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| Format: | Preprint |
| Veröffentlicht: |
2025
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| _version_ | 1866916976771727360 |
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| author | Schmidhuber, Juergen |
| author_facet | Schmidhuber, Juergen |
| contents | Modern AI is based on deep artificial neural networks (NNs). As of 2025, the most cited scientific article of the 21st century is an NN paper on deep residual learning with residual connections. Who invented this? We present a timeline of the evolution of deep residual learning. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2509_24732 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Who invented deep residual learning? Schmidhuber, Juergen Machine Learning Neural and Evolutionary Computing Modern AI is based on deep artificial neural networks (NNs). As of 2025, the most cited scientific article of the 21st century is an NN paper on deep residual learning with residual connections. Who invented this? We present a timeline of the evolution of deep residual learning. |
| title | Who invented deep residual learning? |
| topic | Machine Learning Neural and Evolutionary Computing |
| url | https://arxiv.org/abs/2509.24732 |