Keras对CIFAR10的图像分类全套代码（包含多个模型）

[{"title":"（ 42 个子文件 557.36MB ） Keras对CIFAR10的图像分类全套代码（包含多个模型）","children":[{"title":"Keras-Image-Classification","children":[{"title":"Keras CIFAR-10分类（SVM 分类器）.ipynb <span style='color:#111;'> 130.08KB </span>","children":null,"spread":false},{"title":"Keras CIFAR-10分类（LeNet5）.ipynb <span style='color:#111;'> 298.95KB </span>","children":null,"spread":false},{"title":"Keras CIFAR-10分类（GoogleNet）.ipynb <span style='color:#111;'> 441.33KB </span>","children":null,"spread":false},{"title":"Keras CIFAR-10分类（ResNet）.ipynb <span style='color:#111;'> 325.32KB </span>","children":null,"spread":false},{"title":"Keras CIFAR-10分类（ResNeXt）.ipynb <span style='color:#111;'> 529.45KB </span>","children":null,"spread":false},{"title":"Keras CIFAR-10分类（VGG16）.ipynb <span style='color:#111;'> 241.16KB </span>","children":null,"spread":false},{"title":"Keras CIFAR-10分类（DenseNet）.ipynb <span style='color:#111;'> 364.61KB </span>","children":null,"spread":false},{"title":"Keras CIFAR-10分类（AlexNet）.ipynb <span style='color:#111;'> 304.28KB </span>","children":null,"spread":false},{"title":"Keras CIFAR-10分类（自定义simple CNN）.ipynb <span style='color:#111;'> 255.30KB </span>","children":null,"spread":false}],"spread":true},{"title":"output","children":[{"title":"predict_alexnet.png <span style='color:#111;'> 89.12KB </span>","children":null,"spread":false},{"title":"best_lenet5_simple.h5 <span style='color:#111;'> 780.36KB </span>","children":null,"spread":false},{"title":"keras_cifar10_googleNet_model.h5 <span style='color:#111;'> 69.20MB </span>","children":null,"spread":false},{"title":"keras_cifar10_complex_cnn_model.h5 <span style='color:#111;'> 96.27MB </span>","children":null,"spread":false},{"title":"predict_googleNet.png <span style='color:#111;'> 92.20KB </span>","children":null,"spread":false},{"title":"best_densenet_simple.h5 <span style='color:#111;'> 11.85MB </span>","children":null,"spread":false},{"title":"predict_complex_cnn.png <span style='color:#111;'> 92.63KB </span>","children":null,"spread":false},{"title":"best_alexnet_simple.h5 <span style='color:#111;'> 110.38MB </span>","children":null,"spread":false},{"title":"keras_cifar10_alexnet_model.h5 <span style='color:#111;'> 110.38MB </span>","children":null,"spread":false},{"title":"best_googleNet_simple.h5 <span style='color:#111;'> 69.20MB </span>","children":null,"spread":false},{"title":"cifar10_svm.png <span style='color:#111;'> 10.97KB </span>","children":null,"spread":false},{"title":"best_resnext_simple.h5 <span style='color:#111;'> 3.94MB </span>","children":null,"spread":false},{"title":"cifar10_resnext.png <span style='color:#111;'> 2.53MB </span>","children":null,"spread":false},{"title":"predict_resnet.png <span style='color:#111;'> 90.87KB </span>","children":null,"spread":false},{"title":"cifar10_resnet.png <span style='color:#111;'> 1.06MB </span>","children":null,"spread":false},{"title":"best_resnet_simple.h5 <span style='color:#111;'> 5.90MB </span>","children":null,"spread":false},{"title":"predict_lenet5.png <span style='color:#111;'> 90.54KB </span>","children":null,"spread":false},{"title":"keras_cifar10_svm_model.h5 <span style='color:#111;'> 379.09KB </span>","children":null,"spread":false},{"title":"keras_cifar10_densenet_model.h5 <span style='color:#111;'> 11.85MB </span>","children":null,"spread":false},{"title":"predict_densenet.png <span style='color:#111;'> 89.68KB </span>","children":null,"spread":false},{"title":"cifar10_densenet.png <span style='color:#111;'> 4.91MB </span>","children":null,"spread":false},{"title":"best_complex_cnn_simple.h5 <span style='color:#111;'> 96.27MB </span>","children":null,"spread":false},{"title":"keras_cifar10_resnext_model.h5 <span style='color:#111;'> 5.25MB </span>","children":null,"spread":false},{"title":"best_svm_simple.h5 <span style='color:#111;'> 379.09KB </span>","children":null,"spread":false},{"title":"keras_cifar10_lenet5_model.h5 <span style='color:#111;'> 780.36KB </span>","children":null,"spread":false},{"title":"cifar10_googleNet.png <span style='color:#111;'> 1.21MB </span>","children":null,"spread":false},{"title":"cifar10_lenet5.png <span style='color:#111;'> 81.73KB </span>","children":null,"spread":false},{"title":"best_resnet_data_augmentation.h5 <span style='color:#111;'> 4.09MB </span>","children":null,"spread":false},{"title":"keras_cifar10_resnet_model.h5 <span style='color:#111;'> 5.90MB </span>","children":null,"spread":false},{"title":"best_simple_cnn_simple.h5 <span style='color:#111;'> 718.85KB </span>","children":null,"spread":false},{"title":"predict_resnext.png <span style='color:#111;'> 90.58KB </span>","children":null,"spread":false},{"title":"cifar10_alexnet.png <span style='color:#111;'> 157.60KB </span>","children":null,"spread":false},{"title":"cifar10_simple_cnn.png <span style='color:#111;'> 68.64KB </span>","children":null,"spread":false}],"spread":false}],"spread":true}]