Bounded AutoResearch for a Tiny Reproducible Machine-Learning Task

This paper presents Deterministic bounded AutoResearch for a small MNIST neural-network task, a public template exemplar that turns an AutoResearch loop into ordinary reproducible research infrastructure. The case study is intentionally small but concrete: 2000 training and 500 test images from MNIST handwritten digit database are evaluated by the bounded small MNIST neural-network classification ...