LSTM-Human-Activity-Recognition-master

Directory: Other systems
Plat: Python
Size: 260KB
Downloads: 7
Upload time: 2019-06-13 18:50:02
Uploader: 一片真心
Description:   Compared with the classical methods, the recursive neural network (RNN) with long-term memory cells does not need or almost need feature engineering. Data can be directly input into the neural network, which acts as a black box and can correctly model the problem. Other research can use a lot of Feature Engineering on activity recognition data sets, which is a signal processing method combined with classical data science and technology. The method here is very simple in terms of the number of data preprocessing

File list:
LSTM-Human-Activity-Recognition-master, 0 , 2019-04-16
LSTM-Human-Activity-Recognition-master\.gitignore, 24 , 2019-04-16
LSTM-Human-Activity-Recognition-master\LICENSE, 1086 , 2019-04-16
LSTM-Human-Activity-Recognition-master\LSTM.ipynb, 213291 , 2019-04-16
LSTM-Human-Activity-Recognition-master\LSTM_files, 0 , 2019-04-16
LSTM-Human-Activity-Recognition-master\LSTM_files\LSTM_16_0.png, 77480 , 2019-04-16
LSTM-Human-Activity-Recognition-master\LSTM_files\LSTM_18_1.png, 43286 , 2019-04-16
LSTM-Human-Activity-Recognition-master\README.md, 30154 , 2019-04-16
LSTM-Human-Activity-Recognition-master\data, 0 , 2019-04-16
LSTM-Human-Activity-Recognition-master\data\.gitignore, 33 , 2019-04-16
LSTM-Human-Activity-Recognition-master\data\download_dataset.py, 914 , 2019-04-16
LSTM-Human-Activity-Recognition-master\data\source.txt, 2068 , 2019-04-16

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