[{"title":"( 22 个子文件 15.21MB ) cnn-rtlsdr:使用rtl-sdr加密狗进行深度学习信号分类","children":[{"title":"cnn-rtlsdr-master","children":[{"title":"dataset2.py <span style='color:#111;'> 7.47KB </span>","children":null,"spread":false},{"title":"rtlsdr-model.meta <span style='color:#111;'> 67.86KB </span>","children":null,"spread":false},{"title":"predict_scan.py <span style='color:#111;'> 3.08KB </span>","children":null,"spread":false},{"title":"cleanup.cmd <span style='color:#111;'> 143B </span>","children":null,"spread":false},{"title":"requirements.txt <span style='color:#111;'> 2.75KB </span>","children":null,"spread":false},{"title":"training_data","children":[{"title":"other","children":[{"title":"samples-cfddagheduawhrgz.npy <span style='color:#111;'> 195.39KB </span>","children":null,"spread":false}],"spread":true},{"title":"tv","children":[{"title":"samples-bmebdkrhrqwhlnhi.npy <span style='color:#111;'> 195.39KB </span>","children":null,"spread":false}],"spread":true},{"title":"dmr","children":[{"title":"samples-blvtoeyqgwesbnid.npy <span style='color:#111;'> 195.39KB </span>","children":null,"spread":false}],"spread":true},{"title":"wfm","children":[{"title":"samples-akpvdqiapdzcrywq.npy <span style='color:#111;'> 195.39KB </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"README.md <span style='color:#111;'> 4.93KB </span>","children":null,"spread":false},{"title":"prepare_data.py <span style='color:#111;'> 2.55KB </span>","children":null,"spread":false},{"title":"screenshot_keras.png <span style='color:#111;'> 18.14KB </span>","children":null,"spread":false},{"title":"rtlsdr-model.index <span style='color:#111;'> 908B </span>","children":null,"spread":false},{"title":"dataset.py <span style='color:#111;'> 3.53KB </span>","children":null,"spread":false},{"title":"testing_data","children":[{"title":"other","children":[{"title":"samples-cfddagheduawhrgz.npy <span style='color:#111;'> 195.39KB </span>","children":null,"spread":false}],"spread":true},{"title":"tv","children":[{"title":"samples-bmebdkrhrqwhlnhi.npy <span style='color:#111;'> 195.39KB </span>","children":null,"spread":false}],"spread":false},{"title":"dmr","children":[{"title":"samples-blvtoeyqgwesbnid.npy <span style='color:#111;'> 195.39KB </span>","children":null,"spread":false}],"spread":false},{"title":"wfm","children":[{"title":"samples-akpvdqiapdzcrywq.npy <span style='color:#111;'> 195.39KB </span>","children":null,"spread":false}],"spread":false}],"spread":true},{"title":"rtlsdr-model.data-00000-of-00001 <span style='color:#111;'> 18.08MB </span>","children":null,"spread":false},{"title":"train_keras.py <span style='color:#111;'> 3.32KB </span>","children":null,"spread":false},{"title":"checkpoint <span style='color:#111;'> 81B </span>","children":null,"spread":false},{"title":"train.py <span style='color:#111;'> 5.91KB </span>","children":null,"spread":false}],"spread":false}],"spread":true}]