Junyu

pytorch-cifar-models. 3.41% and 17.11% error on CIFAR-10 and CIFAR-100

ResNet-on-Cifar10. Reimplementation ResNet on cifar10 with caffe

fine-tuning. Fine-tuning an already learned model, adapts the architecture to other datasets

uncommon-datasets-caffe. use uncommon datasets on caffe,such as cifar100 and SVHN

deep_learning_object_detection. A paper list of object detection using deep learning.