https://github.com/sureshbeekhani/text-generation-with-lstm
Long Short-Term Memory (LSTM) networks are a type of Recurrent Neural Network (RNN) designed to address the limitations of traditional RNNs, particularly in handling long-term dependencies. They are well-suited for tasks involving sequential data, such as time series forecasting, natural language processing, and speech recognition
https://github.com/sureshbeekhani/text-generation-with-lstm
llm lstm rnn-pytorch rnn-tensorflow rrna-prediction
Last synced: 3 months ago
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Long Short-Term Memory (LSTM) networks are a type of Recurrent Neural Network (RNN) designed to address the limitations of traditional RNNs, particularly in handling long-term dependencies. They are well-suited for tasks involving sequential data, such as time series forecasting, natural language processing, and speech recognition
- Host: GitHub
- URL: https://github.com/sureshbeekhani/text-generation-with-lstm
- Owner: SURESHBEEKHANI
- Created: 2024-08-08T06:02:48.000Z (10 months ago)
- Default Branch: main
- Last Pushed: 2025-01-06T13:09:37.000Z (5 months ago)
- Last Synced: 2025-01-06T14:23:27.948Z (5 months ago)
- Topics: llm, lstm, rnn-pytorch, rnn-tensorflow, rrna-prediction
- Language: Jupyter Notebook
- Homepage:
- Size: 66.4 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0