Densely Connected LSTM + Var. Dropout

Training compute

1.3×10¹⁶ FLOP

Parameters

23M

Published

Jul 19, 2017

Densely Connected LSTM + Var. Dropout is an AI model developed by Ghent University (Belgium), first published in July 2017. It works in the language domain, on tasks such as language modeling.

Training it took an estimated 1.3×10¹⁶ FLOP of compute (estimation method: operation counting). The model has 23,000,000 parameters. It was trained on roughly 929K datapoints.

Access: Unreleased. Its weights are not openly released. The reference paper has 7 citations. Epoch AI rates the confidence of this record as confident.

Full record

Organization: Ghent University
Country of organization: Belgium
Domain: Language
Task: Language modeling
Training compute: 1.3×10¹⁶ FLOP
Compute estimation method: Operation counting
Parameters: 23,000,000
Dataset size: 929K
Model accessibility: Unreleased
Open weights: No
Citations: 7
Epoch confidence: Confident