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https://github.com/riomaxgit/lstm_sensordata_anomaly-detection-model
Anomaly detection using Long Short-Term Memory (LSTM) networks involves training a model to identify patterns in sequential data and detect deviations from those patterns. LSTMs are a type of recurrent neural network (RNN) that are well-suited for modeling sequences due to their ability to capture long-term dependencies.
https://github.com/riomaxgit/lstm_sensordata_anomaly-detection-model
anomaly-detection faker lstm lstm-model pandas python rocket sensor-data
Last synced: 14 days ago
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Anomaly detection using Long Short-Term Memory (LSTM) networks involves training a model to identify patterns in sequential data and detect deviations from those patterns. LSTMs are a type of recurrent neural network (RNN) that are well-suited for modeling sequences due to their ability to capture long-term dependencies.
- Host: GitHub
- URL: https://github.com/riomaxgit/lstm_sensordata_anomaly-detection-model
- Owner: RiomaxGit
- Created: 2024-03-25T01:21:53.000Z (10 months ago)
- Default Branch: main
- Last Pushed: 2024-03-25T01:26:30.000Z (10 months ago)
- Last Synced: 2025-01-19T07:42:19.411Z (14 days ago)
- Topics: anomaly-detection, faker, lstm, lstm-model, pandas, python, rocket, sensor-data
- Language: Python
- Homepage:
- Size: 2.38 MB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
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Metadata Files: