2006 CE
Deep learning revival
Artificial intelligence · Machine learning
Work on deep networks and pretraining renews practical interest in deep learning. Deep belief networks offered a practical way to initialize multilayer models before supervised fine-tuning.
Precision, calendar, and review
- Start
- year · no uncertainty qualifier in this record
- Calendar and convention
- Historical-era years; the source calendar is not identified. No conversion of days is assumed.
- Year zero
- The scale goes from 1 BCE to 1 CE without year zero. Changing era names changes labels only.
- Documentary review
- 2026-09-20
Reading the date: point event.
Sources
- www.cs.toronto.edu (opens in a new tab)
Source provenance and scope
- Publication date
- Pending verification
- Bibliographic date checked
- 2026-09-23
- Access date
- 2026-09-20
The correspondence between this reference and individual claims has not yet been itemized.
This record is an editorial synthesis. Consult the sources to check claims and their limits. Chronological relationships alone do not establish causation.