Ordinal classification is different from a standard, non-ordinal classification problem where the set of values to predict is categorical and is not ordered. For example, predicting the exterior color ...

PyTorch 1.0 shines for rapid prototyping with dynamic neural networks, ... This very simple model has two 2D convolution layers, ... ImageNet image classification using residual networks; ...