[{"title":"( 16 个子文件 1.54MB ) Face-Mask-Detection-Deep-Neural-Network-Triple-Solution:遮罩检测问题的三种类型的解决方案,其中第一种以卷积网络的形式表示,第二种在完全连接的网络中,第三种基于传输网络","children":[{"title":"Face-Mask-Detection-Deep-Neural-Network-Triple-Solution-main","children":[{"title":"Face Mask Classification Transfer Learning.ipynb <span style='color:#111;'> 963.47KB </span>","children":null,"spread":false},{"title":"Face Mask Classification Fully Connected.ipynb <span style='color:#111;'> 308.36KB </span>","children":null,"spread":false},{"title":"Images","children":[{"title":"Transfer Learning model.png <span style='color:#111;'> 62.38KB </span>","children":null,"spread":false},{"title":"CM_FC.png <span style='color:#111;'> 43.91KB </span>","children":null,"spread":false},{"title":"CM_TF.jpg <span style='color:#111;'> 32.08KB </span>","children":null,"spread":false},{"title":"loss+acc CNN.png <span style='color:#111;'> 33.02KB </span>","children":null,"spread":false},{"title":"CNN_model1.png <span style='color:#111;'> 152.25KB </span>","children":null,"spread":false},{"title":"loss+acc TF.jpg <span style='color:#111;'> 21.90KB </span>","children":null,"spread":false},{"title":"CM_CNN.png <span style='color:#111;'> 37.41KB </span>","children":null,"spread":false},{"title":"mobileNet.JPG <span style='color:#111;'> 53.64KB </span>","children":null,"spread":false},{"title":"Fully Connected model.png <span style='color:#111;'> 110.54KB </span>","children":null,"spread":false},{"title":"loss+acc FC.png <span style='color:#111;'> 28.82KB </span>","children":null,"spread":false},{"title":"CNN_model2.jpg <span style='color:#111;'> 92.84KB </span>","children":null,"spread":false}],"spread":false},{"title":"Face Mask Classification CNN.ipynb <span style='color:#111;'> 84.51KB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 4.45KB </span>","children":null,"spread":false},{"title":"trained models","children":[{"title":"link_to_trained_models.md <span style='color:#111;'> 85B </span>","children":null,"spread":false}],"spread":true}],"spread":true}],"spread":true}]