Learn how to create a simple neural network, and a more accurate convolutional neural network, with the PyTorch deep learning library PyTorch is a Python-based tensor computing library with high-level ...

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 ...

Machine learning with deep neural techniques has advanced quickly, so Dr. James McCaffrey of Microsoft Research updates regression techniques and best practices guidance based on experience over the ...

Dr. James McCaffrey of Microsoft Research presents the first in a series of four machine learning articles that detail a complete end-to-end production-quality example of neural regression using ...

IBM said in an IBM Research blog post published October 26, 2026 that software updates delivered across the PyTorch ecosystem ...

Google announced on October 20, 2026, at PyTorch Conference 2026 that TorchTPU, its native PyTorch stack for Tensor ...

Amazon's TorchNeuron software runs code written in PyTorch, the open-source framework used by many AI developers, on its ...

Amazon has introduced TorchNeuron, a native PyTorch backend intended to make its Trainium AI chips easier for researchers and ...