Training examples with reproducible and meaningful performance.
- An illustrative mnist example with explanation of the framework
- A tiny SVHN ConvNet with 97.8% accuracy
- DoReFa-Net: binary / low-bitwidth CNN on ImageNet
- ResNet for ImageNet/Cifar10/SVHN
- Inception-BN with 71% accuracy
- InceptionV3 with 74% accuracy (similar to the official code)
- Fully-convolutional Network for Holistically-Nested Edge Detection(HED)
- Spatial Transformer Networks on MNIST addition
- Load a pretrained AlexNet or VGG16 model.