CapsNet (MNIST)

Parameters

8.2M

Published

Oct 26, 2017

CapsNet (MNIST) is an AI model developed by Google Brain (United States), first published in October 2017. It works in the vision domain, on tasks such as character recognition (ocr).

Epoch AI has no training-compute estimate for this model. The model has 8,200,000 parameters. It was trained on roughly 60K datapoints.

The reference paper has 5,094 citations.

Full record

Organization: Google Brain
Country of organization: United States
Domain: Vision
Task: Character recognition (OCR)
Parameters: 8,200,000
Dataset size: 60K
Citations: 5,094