TCN (P-MNIST)

Parameters

42K

Published

Feb 15, 2018

TCN (P-MNIST) is an AI model developed by Carnegie Mellon University (CMU) and Intel Labs (United States), first published in February 2018. It works in the vision domain, on tasks such as image classification and digit recognition.

Epoch AI has no training-compute estimate for this model. The model has 42,000 parameters. It was trained on roughly 60K datapoints.

The reference paper has 6,496 citations. Epoch AI rates the confidence of this record as confident.

Full record

Organization: Carnegie Mellon University (CMU), Intel Labs
Country of organization: United States
Domain: Vision
Task: Image classification, Digit recognition
Parameters: 42,000
Dataset size: 60K
Citations: 6,496
Epoch confidence: Confident

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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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