[{"title":"( 35 个子文件 135KB ) DeepLearning-TensorFlow2:本专栏我将使用谷歌TensorFlow2.0框架逐一重现经典的卷积神经网络:LeNet,AlexNet,VGG系列,GooLeNet,ResNet系列,DenseNet系列,以及现在比较流行的:RCNN系列,SSD,YOLO系列等-源码","children":[{"title":"DeepLearning-TensorFlow2-master","children":[{"title":"4. AlexNet","children":[{"title":"AlexNet.py <span style='color:#111;'> 7.76KB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 142B </span>","children":null,"spread":false}],"spread":true},{"title":"DeepLearning-TensorFlow2.0.zip <span style='color:#111;'> 49.67KB </span>","children":null,"spread":false},{"title":"2. 快速搭建MNIST分类器","children":[{"title":"README.md <span style='color:#111;'> 155B </span>","children":null,"spread":false},{"title":"FastNet.py <span style='color:#111;'> 1.84KB </span>","children":null,"spread":false}],"spread":true},{"title":"3. LeNet-5","children":[{"title":"LeNet-5.py <span style='color:#111;'> 2.93KB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 142B </span>","children":null,"spread":false}],"spread":true},{"title":"6. GoogLeNet","children":[{"title":"class_indices.json <span style='color:#111;'> 108B </span>","children":null,"spread":false},{"title":"train.py <span style='color:#111;'> 5.23KB </span>","children":null,"spread":false},{"title":"predict.py <span style='color:#111;'> 1.08KB </span>","children":null,"spread":false},{"title":"daisy_test.jpg <span style='color:#111;'> 31.45KB </span>","children":null,"spread":false},{"title":"model.py <span style='color:#111;'> 4.64KB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 144B </span>","children":null,"spread":false}],"spread":true},{"title":"ResNet-101","children":[{"title":"read_ckpt.py <span style='color:#111;'> 1.54KB </span>","children":null,"spread":false},{"title":"class_indices.json <span style='color:#111;'> 108B </span>","children":null,"spread":false},{"title":"train.py <span style='color:#111;'> 6.29KB </span>","children":null,"spread":false},{"title":"predict.py <span style='color:#111;'> 1.61KB </span>","children":null,"spread":false},{"title":"model.py <span style='color:#111;'> 6.06KB </span>","children":null,"spread":false},{"title":"rose_test.jpg <span style='color:#111;'> 18.22KB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 1.30KB </span>","children":null,"spread":false}],"spread":true},{"title":"DenseNet","children":[{"title":"train.py <span style='color:#111;'> 918B </span>","children":null,"spread":false},{"title":"README <span style='color:#111;'> 539B </span>","children":null,"spread":false},{"title":"model.py <span style='color:#111;'> 6.85KB </span>","children":null,"spread":false}],"spread":true},{"title":"ResNet","children":[{"title":"resnet.py <span style='color:#111;'> 2.99KB </span>","children":null,"spread":false},{"title":"train.py <span style='color:#111;'> 2.36KB </span>","children":null,"spread":false},{"title":"reader.md <span style='color:#111;'> 280B </span>","children":null,"spread":false}],"spread":true},{"title":"README.md <span style='color:#111;'> 1.10KB </span>","children":null,"spread":false},{"title":"1. 手写数字识别","children":[{"title":"FirstNet.py <span style='color:#111;'> 2.17KB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 275B </span>","children":null,"spread":false}],"spread":true},{"title":"5. VGG11","children":[{"title":"VGG11.py <span style='color:#111;'> 7.97KB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 144B </span>","children":null,"spread":false}],"spread":true},{"title":"datasets","children":[{"title":"README.md <span style='color:#111;'> 608B </span>","children":null,"spread":false}],"spread":true},{"title":"7. ResNet","children":[{"title":"resnet.py <span style='color:#111;'> 2.99KB </span>","children":null,"spread":false},{"title":"train.py <span style='color:#111;'> 2.36KB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 141B </span>","children":null,"spread":false}],"spread":true}],"spread":false}],"spread":true}]