| key | value |
|---|---|
| id | 59073471 |
| name | LSTM-Human-Activity-Recognition |
| full_name | guillaume-chevalier/LSTM-Human-Activity-Recognition |
| html_url | https://github.com/guillaume-chevalier/LSTM-Human-Activity-Recognition |
| description | 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 |
| created_at | May 18, 2016, 2 a.m. |
| updated_at | Nov. 8, 2024, 2:55 a.m. |
| pushed_at | Nov. 6, 2022, 5:53 p.m. |
| size | 1,442 |
| stargazers_count | 3,345 |
| watchers_count | 160 |
| forks_count | 937 |
| open_issues | 22 |
| language | Jupyter Notebook |
| awesome_list |
https://github.com/jtoy/awesome-tensorflow https://github.com/guillaume-chevalier/Awesome-Deep-Learning-Resources |