Arguably, the two most powerful techniques for multi-class classification on non-trivial datasets are neural networks and tree boosting. In some recent multi-class classification challenges, LightGBM ...

CIFAR-10 problems analyze crude 32 x 32 color images to predict which of 10 classes the image is. Here, Dr. James McCaffrey of Microsoft Research shows how to create a PyTorch image classification ...