HAR：使用深度神经网络的人类活动识别（HAR）-源码
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[{"title":"（ 63 个子文件 79.78MB ） HAR：使用深度神经网络的人类活动识别（HAR）-源码","children":[{"title":"HAR-main","children":[{"title":"WISDM_ar_latest","children":[{"title":"WISDM_ar_v1.1","children":[{"title":"WISDM_ar_v1.1_raw.txt <span style='color:#111;'> 47.99MB </span>","children":null,"spread":false},{"title":"WISDM_ar_v1.1_trans_about.txt <span style='color:#111;'> 2.39KB </span>","children":null,"spread":false},{"title":"WISDM_ar_v1.1_raw_about.txt <span style='color:#111;'> 1.42KB </span>","children":null,"spread":false},{"title":"WISDM_ar_v1.1_transformed.arff <span style='color:#111;'> 1.15MB </span>","children":null,"spread":false},{"title":"readme.txt <span style='color:#111;'> 2.03KB </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":".ipynb_checkpoints","children":[{"title":"1D CNN - Standardization - UCI HAR-checkpoint.ipynb <span style='color:#111;'> 15.54KB </span>","children":null,"spread":false},{"title":"1D CNN - Kernel size - UCI HAR-checkpoint.ipynb <span style='color:#111;'> 15.22KB </span>","children":null,"spread":false},{"title":"1D Multi-headed CNN - UCI HAR-checkpoint.ipynb <span style='color:#111;'> 8.89KB </span>","children":null,"spread":false},{"title":"Bidirectional LSTM - WISDM-checkpoint.ipynb <span style='color:#111;'> 1.36MB </span>","children":null,"spread":false},{"title":"1D CNN - Number of filters-checkpoint.ipynb <span style='color:#111;'> 18.63KB </span>","children":null,"spread":false},{"title":"1D CNN - UCI HAR-checkpoint.ipynb <span style='color:#111;'> 6.78KB </span>","children":null,"spread":false}],"spread":true},{"title":"best_model.03-0.64.h5 <span style='color:#111;'> 843.88KB </span>","children":null,"spread":false},{"title":"exp_cnn_standardize.png <span style='color:#111;'> 4.71KB </span>","children":null,"spread":false},{"title":"1D Multi-headed CNN - UCI HAR.ipynb <span style='color:#111;'> 8.89KB </span>","children":null,"spread":false},{"title":"best_model.07-0.63.h5 <span style='color:#111;'> 843.88KB </span>","children":null,"spread":false},{"title":"best_model.02-0.64.h5 <span style='color:#111;'> 843.88KB </span>","children":null,"spread":false},{"title":"multichannel.png <span style='color:#111;'> 101.86KB </span>","children":null,"spread":false},{"title":"best_model.01-0.72.h5 <span style='color:#111;'> 843.88KB </span>","children":null,"spread":false},{"title":"Deep neural network - WISDM.ipynb <span style='color:#111;'> 902.90KB </span>","children":null,"spread":false},{"title":"best_model.02-0.65.h5 <span style='color:#111;'> 843.88KB </span>","children":null,"spread":false},{"title":"best_model.04-0.63.h5 <span style='color:#111;'> 843.88KB </span>","children":null,"spread":false},{"title":"1D CNN - Number of filters.ipynb <span style='color:#111;'> 18.63KB </span>","children":null,"spread":false},{"title":"1D CNN - Kernel size - UCI HAR.ipynb <span style='color:#111;'> 15.22KB </span>","children":null,"spread":false},{"title":"1D CNN - Standardization - UCI HAR.ipynb <span style='color:#111;'> 15.54KB </span>","children":null,"spread":false},{"title":"best_model.04-0.64.h5 <span style='color:#111;'> 843.88KB </span>","children":null,"spread":false},{"title":"Bidirectional LSTM - WISDM.ipynb <span style='color:#111;'> 1.36MB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 67B </span>","children":null,"spread":false},{"title":"best_model.03-0.62.h5 <span style='color:#111;'> 843.88KB </span>","children":null,"spread":false},{"title":"HARDataset","children":[{"title":".DS_Store <span style='color:#111;'> 6.00KB </span>","children":null,"spread":false},{"title":"features_info.txt <span style='color:#111;'> 2.74KB </span>","children":null,"spread":false},{"title":"features.txt <span style='color:#111;'> 15.42KB </span>","children":null,"spread":false},{"title":"activity_labels.txt <span style='color:#111;'> 80B </span>","children":null,"spread":false},{"title":"README.txt <span style='color:#111;'> 6.16KB </span>","children":null,"spread":false},{"title":"train","children":[{"title":"y_train.txt <span style='color:#111;'> 14.36KB </span>","children":null,"spread":false},{"title":"Inertial Signals","children":[{"title":"total_acc_z_train.txt <span style='color:#111;'> 14.37MB </span>","children":null,"spread":false},{"title":"body_gyro_y_train.txt <span style='color:#111;'> 14.37MB </span>","children":null,"spread":false},{"title":"body_acc_z_train.txt <span style='color:#111;'> 14.37MB </span>","children":null,"spread":false},{"title":"total_acc_x_train.txt <span style='color:#111;'> 14.37MB </span>","children":null,"spread":false},{"title":"total_acc_y_train.txt <span style='color:#111;'> 14.37MB </span>","children":null,"spread":false},{"title":"body_gyro_x_train.txt <span style='color:#111;'> 14.37MB </span>","children":null,"spread":false},{"title":"body_acc_y_train.txt <span style='color:#111;'> 14.37MB </span>","children":null,"spread":false},{"title":"body_acc_x_train.txt <span style='color:#111;'> 14.37MB </span>","children":null,"spread":false},{"title":"body_gyro_z_train.txt <span style='color:#111;'> 14.37MB </span>","children":null,"spread":false}],"spread":false},{"title":"X_train.txt <span style='color:#111;'> 62.95MB </span>","children":null,"spread":false},{"title":"subject_train.txt <span style='color:#111;'> 19.68KB </span>","children":null,"spread":false}],"spread":false},{"title":"test","children":[{"title":"X_test.txt <span style='color:#111;'> 25.23MB </span>","children":null,"spread":false},{"title":"Inertial Signals","children":[{"title":"total_acc_y_test.txt <span style='color:#111;'> 5.76MB </span>","children":null,"spread":false},{"title":"total_acc_z_test.txt <span style='color:#111;'> 5.76MB </span>","children":null,"spread":false},{"title":"total_acc_x_test.txt <span style='color:#111;'> 5.76MB </span>","children":null,"spread":false},{"title":"body_acc_y_test.txt <span style='color:#111;'> 5.76MB </span>","children":null,"spread":false},{"title":"body_gyro_y_test.txt <span style='color:#111;'> 5.76MB </span>","children":null,"spread":false},{"title":"body_acc_z_test.txt <span style='color:#111;'> 5.76MB </span>","children":null,"spread":false},{"title":"body_gyro_z_test.txt <span style='color:#111;'> 5.76MB </span>","children":null,"spread":false},{"title":"body_gyro_x_test.txt <span style='color:#111;'> 5.76MB </span>","children":null,"spread":false},{"title":"body_acc_x_test.txt <span style='color:#111;'> 5.76MB </span>","children":null,"spread":false}],"spread":false},{"title":"subject_test.txt <span style='color:#111;'> 7.75KB </span>","children":null,"spread":false},{"title":"y_test.txt <span style='color:#111;'> 5.76KB </span>","children":null,"spread":false}],"spread":false}],"spread":false},{"title":"exp_cnn_filters.png <span style='color:#111;'> 5.21KB </span>","children":null,"spread":false},{"title":"best_model.01-0.70.h5 <span style='color:#111;'> 843.88KB </span>","children":null,"spread":false},{"title":"best_model.01-0.74.h5 <span style='color:#111;'> 843.88KB </span>","children":null,"spread":false},{"title":"1D CNN - 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本站所有资源不代表本站的观点或立场，基于网友分享，根据中国法律《信息网络传播权保护条例》第二十二条之规定，若资源存在侵权或相关问题请联系本站客服人员，zhiweidada#qq.com，请把#换成@，本站将给予最大的支持与配合，做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明