AI models
Deconvolutional Network
Published
Jun 13, 2010
Deconvolutional Network is an AI model developed by New York University (NYU) (United States), first published in June 2010. It works in the vision domain, on tasks such as image classification.
Epoch AI has no training-compute estimate for this model.
The reference paper has 1,639 citations.
Full record
- Organization
- New York University (NYU)
- Country of organization
- United States
- Domain
- Vision
- Task
- Image classification
- Citations
- 1,639
More from New York University (NYU)
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