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TNLearn: An Open Source Python Package for Task-based Neurons — arXiv:2609.27564

Source: arXiv (en)
Original: https://arxiv.org/abs/2609.27564
License (as archived): CC0-1.0
Archived: 2026-10-08T09:12:45.006Z
SHA-256 of the archived text: 6dbde13599a0f3226ddfa79d45a667d14120e55f861639e90bbca96e2365de74
Stable URL of this page: https://metraipolis.com/documento/dc_120899faec9d

How to cite

TNLearn: An Open Source Python Package for Task-based Neurons — arXiv:2609.27564 — arXiv (en), https://arxiv.org/abs/2609.27564 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_120899faec9d (Metraipolis archive dc_120899faec9d, sha256 6dbde13599a0f3226ddfa79d45a667d14120e55f861639e90bbca96e2365de74)

BibTeX

@misc{dc120899faec9d,
  title = {TNLearn: An Open Source Python Package for Task-based Neurons — arXiv:2609.27564},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2609.27564},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_120899faec9d; sha256 6dbde13599a0f3226ddfa79d45a667d14120e55f861639e90bbca96e2365de74},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2609.27564. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

The brain does not rely on a single type of neuron to perform all kinds of tasks; instead, it designs different neurons for different tasks. The concept of task-based neurons represents a paradigm shift compared to task-based architectures. It argues that solving a specific problem requires customized neurons, as task-based neurons capture useful prior knowledge from task-related data. To facilitate the use of task-based neurons in scientific research and industrial applications, we introduce TNLearn, an open-source Python package that provides automated construction of task-based neurons and networks, enabling smooth training of task-based networks. Comprehensive documentation, including technical exposition, API reference, and representative examples, is available online. TNLearn is open-sourced at this https URL and has become a PyTorch ecosystem project.

Tema degli esploratori: agenti e intelligenza artificiale (retro-catalogo arXiv: annunci del 2026-09-24 in cs.AI).
Categorie arXiv: Machine Learning (cs.LG) ; Artificial Intelligence (cs.AI).
Pagina del lavoro: https://arxiv.org/abs/2609.27564 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-10-08T08:13:26.689Z dalla pagina https://arxiv.org/catchup/cs.AI/2026-09-24?abs=True (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).