[{"title":"( 14 个子文件 6.39MB ) 基于卷积神经网络结合机器学习的高光谱分类 全套代码pytorch制作","children":[{"title":"3D_CNN_ML","children":[{"title":"log","children":[{"title":"net_params.pkl <span style='color:#111;'> 379.73KB </span>","children":null,"spread":false},{"title":"RF.pkl <span style='color:#111;'> 75.04KB </span>","children":null,"spread":false}],"spread":true},{"title":"show_cnn.py <span style='color:#111;'> 1.50KB </span>","children":null,"spread":false},{"title":"0 test using.py <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"utils.py <span style='color:#111;'> 8.25KB </span>","children":null,"spread":false},{"title":"data","children":[{"title":"Indian_pines_gt.mat <span style='color:#111;'> 1.10KB </span>","children":null,"spread":false},{"title":"Indian_pines.mat <span style='color:#111;'> 6.00MB </span>","children":null,"spread":false}],"spread":true},{"title":"train_cnn_ml.py <span style='color:#111;'> 3.53KB </span>","children":null,"spread":false},{"title":"__pycache__","children":[{"title":"utils.cpython-36.pyc <span style='color:#111;'> 5.56KB </span>","children":null,"spread":false},{"title":"net.cpython-36.pyc <span style='color:#111;'> 1.21KB </span>","children":null,"spread":false}],"spread":true},{"title":"说明.txt <span style='color:#111;'> 164B </span>","children":null,"spread":false},{"title":"train_cnn.py <span style='color:#111;'> 5.58KB </span>","children":null,"spread":false},{"title":"net.py <span style='color:#111;'> 1.18KB </span>","children":null,"spread":false},{"title":"show_cnn_ml.py <span style='color:#111;'> 1.55KB </span>","children":null,"spread":false}],"spread":false}],"spread":true}]