
LSTM-Human-Activity-Recognition
by guillaume-chevalier (personal account)
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier (description from the project’s GitHub page)
Repository facts
- Stars
- 3,487
- Forks
- 930
- Open issues and pull requests
- 22
- Primary language
- Jupyter Notebook
- License
- MIT License (MIT)
- Owner
- guillaume-chevalier · Personal account
- Created
- May 18, 2016
- Last push
- Nov 6, 2022
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