在机器学习领域存在一个普遍的认知误区，即可解释性与准确性存在对立关系。这种观点认为可解释模型在复杂度上存在固有限制，因此无法达到最优性能水平，神经网络之所以能够在各个领域占据主导地位，正是因为其超越了人类可理解的范畴。 其实这种观点 ...

基于图的神经网络是强大的模型，可以学习网络中的复杂模式。在本文中，我们将介绍如何为同构图数据构造PyTorch Data对象，然后训练不同类型的神经网络来预测节点所属的类。这种类型的预测问题通常被称为节点分类。 我们将使用来自Benedek Rozemberczki, Carl Allen ...

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.

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 ...

When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. Known for its flexibility, ease of use, and GPU acceleration, PyTorch is widely adopted in both ...

Facebook parent company Meta Platforms Inc. announced today that it’s handing over control of the popular PyTorch artificial intelligence platform it created to the Linux Foundation’s newly formed ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More After months in preview, PyTorch 2.0 has been made generally available by ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...