LSTM-based Model Training System

An LSTM-based Model Training System is an RNN modeling system that implements a LSTM modeling algorithm (to solve an LSTM model training task).

• Context:
  • It can range from being a Uni-Directional LSTM Training System to being a Bi-Directional LSTM Training System.
• Example(s):
  • torch.nn.LSTM.
  • an LSTM-based Language Model Training System.
  • …
• Counter-Example(s):
  • a seq2seq-based Neural Modeling System.
  • a ConvNet System.
• See: LSTM System, PyTorch.

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References

2017

• https://www.programcreek.com/python/example/107694/torch.nn.LSTM
  • QUOTE: The following are 50 code examples for showing how to use torch.nn.LSTM(). They are extracted from open source Python projects. You can vote up the examples you like or vote down the examples you don't like. You can also save this page to your account.

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