TNLearn: An Open Source Python Package for Task-based Neurons
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Computer Science > Machine Learning
Title:TNLearn: An Open Source Python Package for Task-based Neurons
Abstract: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.
| Comments: | 24 pages, 6 figures, 6 tables |
| Subjects: | Machine Learning (cs.LG); Artificial Intelligence (cs.AI) |
| Cite as: | arXiv:2609.27564 [cs.LG] |
| (or arXiv:2609.27564v1 [cs.LG] for this version) | |
| https://doi.org/10.48550/arXiv.2609.27564
arXiv-issued DOI via DataCite (pending registration)
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