I regularly use PyTorch, as well as the TensorFlow and Keras neural code libraries, and the scikit-learn library. And for single hidden layer neural networks I often implement from scratch using C, C# ...

Developing PyTorch Programs There are dozens of Python development environments and ways to run a PyTorch program. Some common environments are Notepad with a command shell, IDLE, PyCharm, Visual ...

How to use PyTorch At the heart of PyTorch are tensors, which are similar to advanced arrays that you might be familiar with from NumPy, but with the added capability of running on GPUs.

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 ...

A platform that lets surgeons browse videos of past operations has found a way to make its machine learning more effective.

Facebook wants to make sure the open-source PyTorch machine-learning framework supports the needs of developers who want to use its AI models in production systems, not just research projects, it ...

Is PyTorch better than TensorFlow for general use cases? This question was originally answered on Quora by Roman Trusov.

IBM Research has contributed code to the open-source PyTorch machine learning project that could help to significantly accelerate training.

Soumith Chintala from Facebook AI Research, PyTorch project lead, talks about the thinking behind its creation, and the design and usability choices made. Facebook is now unifying machine learning ...

Facebook Inc. today updated its popular artificial intelligence software framework PyTorch with support for new features that enable a more seamless AI model deployment to mobile devices.