AWD-LSTM - 3-layer LSTM (tied) + continuous cache pointer (WT2)
Salesforce ResearchLanguage modeling
AWD-LSTM - 3-layer LSTM (tied) + continuous cache pointer (WT2) is language modeling model published by Salesforce Research in 2017 featuring 33000000.0 parameters.
About AWD-LSTM - 3-layer LSTM (tied) + continuous cache pointer (WT2)
Recurrent neural networks (RNNs), such as long short-term memory networks (LSTMs), serve as a fundamental building block for many sequence learning tasks, including machine translation, language modeling, and question answering. In this paper, we con
Details
- Provider
- Salesforce Research
- Task
- Language modeling
- Parameters
- 33000000.0
- Released
- 2017-08-07
- Open weights
- No