AI models
SimpleNet
Parameters
5.5M
Published
Aug 22, 2016
SimpleNet is an AI model developed by Sensifai, Islamic Azad University, Technicolor R&I and Institute for Research in Fundamental Sciences (IPM) (Belgium, Iran and France), first published in August 2016. It works in the vision domain, on tasks such as image classification.
Epoch AI has no training-compute estimate for this model. The model has 5,480,000 parameters. It was trained on roughly 1.3M datapoints. Training ran on NVIDIA GeForce GTX 980.
The reference paper has 128 citations. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- Sensifai, Islamic Azad University, Technicolor R&I, Institute for Research in Fundamental Sciences (IPM)
- Country of organization
- Belgium, Iran, France
- Domain
- Vision
- Task
- Image classification
- Parameters
- 5,480,000
- Dataset size
- 1.3M
- Training hardware
- NVIDIA GeForce GTX 980
- Numerical format
- FP32
- Citations
- 128
- Epoch confidence
- Confident
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.
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