This project demonstrates some personal examples with Keras on CIFAR10.
The CIFAR10 dataset is 32x32 size, 50000 train images and 10000 test images. The dataset is divided into 40000 train images, 10000 validation images, and 10000 images.
All result is tested on 10000 test images.You can view and run in the jupyter environment.
| Model | Notebook | Accuracy |
|---|---|---|
| SVM | svm | 33.36% |
| Softmax | softmax | 33.11% |
| simple_cnn | simple_cnn | 66.75% |
| vgg | vgg | 92.32% |
| inceptionV1 | GoogLeNet | 93.08% |
| ResNet18 | resnet18 | 93.47% |
| small-ResNet20 | small_resnet20 | 91.25% |
| small-ResNet32 | small_resnet32 | 92.34% |
| small-ResNet56 | small_resnet56 | 92.37% |