AI models
GANs
Training compute
5.2×10¹⁷ FLOP
Published
Jun 10, 2014
GANs is an AI model developed by University of Montreal / Université de Montréal (Canada), first published in June 2014. It works in the image generation domain, on tasks such as image generation.
Training it took an estimated 5.2×10¹⁷ FLOP of compute (estimation method: third-party estimation). It was trained on roughly 120K datapoints.
The reference paper has 36,870 citations. Epoch AI rates the confidence of this record as speculative.
Full record
- Organization
- University of Montreal / Université de Montréal
- Country of organization
- Canada
- Domain
- Image generation
- Task
- Image generation
- Training compute
- 5.2×10¹⁷ FLOP
- Compute estimation method
- Third-party estimation
- Dataset size
- 120K
- Citations
- 36,870
- Epoch confidence
- Speculative
More from University of Montreal / Université de Montréal
SourceEpoch AI, 'AI Models'. Published online at epoch.ai. Retrieved 2026-07-29 from https://epoch.ai/data/ai-models. Licensed under CC BY 4.0.
← All ai models