VGG16和VGG19图像对CIFAR10图像分类模型及源码

[{"title":"（ 14 个子文件 80.09MB ） VGG16和VGG19图像对CIFAR10图像分类模型及源码","children":[{"title":"VGG16_improve_acc_last(91.82 %).ipynb <span style='color:#111;'> 3.29MB </span>","children":null,"spread":false},{"title":"VGG16_improve_acc2.ipynb <span style='color:#111;'> 2.71MB </span>","children":null,"spread":false},{"title":"vgg_19.ipynb <span style='color:#111;'> 13.63KB </span>","children":null,"spread":false},{"title":"VGG16_train_split_0.5（88 %）.ipynb <span style='color:#111;'> 3.19MB </span>","children":null,"spread":false},{"title":"VGG_19_whole 2.ipynb <span style='color:#111;'> 761.47KB </span>","children":null,"spread":false},{"title":"VGG16_train_split_1.0（92.08 %）.ipynb <span style='color:#111;'> 3.18MB </span>","children":null,"spread":false},{"title":"VGG16_improve_acc_last2(92.68%）.ipynb <span style='color:#111;'> 3.26MB </span>","children":null,"spread":false},{"title":"VGG16_improve_acc（92.58 %）.ipynb <span style='color:#111;'> 2.52MB </span>","children":null,"spread":false},{"title":"vgg16_best.pkl <span style='color:#111;'> 58.26MB </span>","children":null,"spread":false},{"title":"VGG16_train_split_0.8（91.13 %）.ipynb <span style='color:#111;'> 3.20MB </span>","children":null,"spread":false},{"title":"VGG16_train_split_0.01（36%）.ipynb <span style='color:#111;'> 1.86MB </span>","children":null,"spread":false},{"title":"VGG16_train_split_0.1（72 %）.ipynb <span style='color:#111;'> 3.23MB </span>","children":null,"spread":false},{"title":"VGG16_plot（结果展示）.ipynb <span style='color:#111;'> 3.63MB </span>","children":null,"spread":false},{"title":"VGG16_improve_acc_last(无全连接) - 副本.ipynb <span style='color:#111;'> 3.16MB </span>","children":null,"spread":false}],"spread":true}]