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 ...

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This article explains how to create a PyTorch image classification system for the CIFAR-10 dataset. CIFAR-10 images are crude 32 x 32 color images of 10 classes such as "frog" and "car." A good way to ...