[{"title":"( 12 个子文件 4.75MB ) 基于CNN-RNN的高光谱图像分类项目报告:全套代码、数据集及准确率记录管理,高光谱图像分类:CNN-RNN深度学习模型的全套解决方案,高光谱图像分类CNN-RNN结合 pytorch编写\n该项目报告","children":[{"title":"高光谱图像分类项目报告基于结合的实.html <span style='color:#111;'> 1.53MB </span>","children":null,"spread":false},{"title":"高光谱图像分类结合模型的项目报告一引言高光谱图像分.docx <span style='color:#111;'> 39.57KB </span>","children":null,"spread":false},{"title":"高光谱图像分类项目报告基于结合的实现.docx <span style='color:#111;'> 39.64KB </span>","children":null,"spread":false},{"title":"2.jpg <span style='color:#111;'> 1.06MB </span>","children":null,"spread":false},{"title":"高光谱图像分类项目报告基于结合的实现一引言高光.docx <span style='color:#111;'> 39.54KB </span>","children":null,"spread":false},{"title":"高光谱图像分类结合模型的项目报告一引言随着.docx <span style='color:#111;'> 39.64KB </span>","children":null,"spread":false},{"title":"高光谱图像分类项目报告基于的实.docx <span style='color:#111;'> 14.79KB </span>","children":null,"spread":false},{"title":"高光谱图像分类结合模型的项目报告一引.docx <span style='color:#111;'> 15.03KB </span>","children":null,"spread":false},{"title":"1.jpg <span style='color:#111;'> 65.91KB </span>","children":null,"spread":false},{"title":"高光谱图像分类项目报告基于结合的实现一.docx <span style='color:#111;'> 39.77KB </span>","children":null,"spread":false},{"title":"高光谱图像分类项目报告基于.html <span style='color:#111;'> 1.53MB </span>","children":null,"spread":false},{"title":"高光谱图像分类结合编写该项目报.html <span style='color:#111;'> 1.53MB </span>","children":null,"spread":false}],"spread":true}]