A clean implementation of Softmax Regression using PyTorch for MNIST digit classification. ├── src/ # Source code │ ├── model.py # SoftmaxRegression model │ ├── data_loader.py # Data loading utilities ...

There are a simple set of experiments on Fashion-MNIST [2] included in train_fMNIST.py which compares the use of ordinary Softmax and Additive Margin Softmax loss functions by projecting embedding ...

Dr. James McCaffrey of Microsoft Research presents the fundamental concepts of tensors necessary to establish a solid foundation for learning how to create PyTorch neural networks, based on his ...

PyTorch 1.10 is production ready, with a rich ecosystem of tools and libraries for deep learning, computer vision, natural language processing, and more. Here's how to get started with PyTorch.