The Lottery Ticket Hypothesis: Why Sparse Subnetworks Train as Well as Dense Ones
Large neural networks are usually trained dense and pruned afterwards. The lottery ticket hypothesis turns that order on its head. It claims that inside a large, randomly initialised network there already exists a small subnetwork - a winning ticket - which, when trained on its own from its origina…
Read the full story at DEV Community — Machine Learning ↗
Timeline · 1 report
- 2026-10-29 02:44 · DEV Community — Machine Learning
The Lottery Ticket Hypothesis: Why Sparse Subnetworks Train as Well as Dense Ones