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 ...

The Data Science Lab Getting Started with PyTorch 1.5 on Windows Dr. James McCaffrey of Microsoft Research uses a complete demo program, samples and screenshots to explains how to install the Python ...

At first glance, PyTorch and TensorFlow seem almost identical: They're both free, open source machine learning frameworks that make extensive use of Python; they both benefit from large, dynamic ...

PyTorch 1.0 shines for rapid prototyping with dynamic neural networks, auto-differentiation, deep Python integration, and strong support for GPUs Deep learning is an important part of the business of ...

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.

In this book PyTorch core developer Howard Huang updates the first edition with new insights into the transformers architecture and generative AI models. Huang et al show how to create your own neural ...

What is Tensor Logic?This paper, published in 2025 by Pedro Domingos (a prominent figure in machine learning), starts with the realization that "AI does not yet have a dedicated language." The current ...

Training on Shakespeare with the Muon optimizer —IntroductionFor those who think, "I want to build a Transformer from scratch ...

There are central processing units (CPUs), graphics processing units (GPUs) and even data processing units (DPUs) – all of which are well-known and commonplace now. GPUs in particular have seen a ...