LSTM-人类活动-识别：在智能手机传感器数据集上使用TensorFlow和LSTM RNN的人类活动识别示例。 在六个活动类别中分类运动的类型-Guillaume Chevalier-源码

[{"title":"（ 9 个子文件 262KB ） LSTM-人类活动-识别：在智能手机传感器数据集上使用TensorFlow和LSTM RNN的人类活动识别示例。 在六个活动类别中分类运动的类型-Guillaume Chevalier-源码","children":[{"title":"LSTM-Human-Activity-Recognition-master","children":[{"title":".gitignore <span style='color:#111;'> 24B </span>","children":null,"spread":false},{"title":"data","children":[{"title":".gitignore <span style='color:#111;'> 33B </span>","children":null,"spread":false},{"title":"download_dataset.py <span style='color:#111;'> 914B </span>","children":null,"spread":false},{"title":"source.txt <span style='color:#111;'> 2.02KB </span>","children":null,"spread":false}],"spread":true},{"title":"LICENSE <span style='color:#111;'> 1.06KB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 31.79KB </span>","children":null,"spread":false},{"title":"LSTM_files","children":[{"title":"LSTM_18_1.png <span style='color:#111;'> 42.27KB </span>","children":null,"spread":false},{"title":"LSTM_16_0.png <span style='color:#111;'> 75.66KB </span>","children":null,"spread":false}],"spread":true},{"title":"LSTM.ipynb <span style='color:#111;'> 208.53KB </span>","children":null,"spread":false}],"spread":true}],"spread":true}]